Industry Briefing
A single destination for timely, editor-curated robotics news from around the world.
Jinke Smart Agriculture Reduces Robotics Investment from 650 Million to 60 Million Amid Market Challenges
On July 10, Jinke Smart Agriculture's stock surged, prompting speculation about its acquisition of Jiangsu Huibo Robotics. Initially, Jinke planned to invest 650 million yuan to gain control over Huibo, which specializes in humanoid robotics for pig farming. However, by late June, the investment was drastically reduced to 60 million yuan, raising concerns about the viability of the acquisition. This significant cut in investment reflects the broader challenges faced by Jinke, as its revenue is projected to decline by 18.26% in 2025, with a net profit drop of 78.59%. The domestic pig market struggles with prices below 12 yuan per kilogram, while production costs remain high. The shift towards robotics is seen as a potential solution to reduce labor costs and improve efficiency in pig farming. Looking ahead, the feasibility of the investment hinges on whether the robotics can operate effectively in the harsh conditions of pig farming. The debate continues on whether humanoid robots are necessary for the tasks at hand, as their design may offer advantages in precision and flexibility compared to traditional robotic forms. No further timeline was disclosed at the time of publication.
Humanoid Robots Agricultural Robotics Pig Farming AI Technology
LiTime Powers Smart Agriculture and Robotics in Agriculture with Extended Runtime and System Integration
Automation is transforming the landscape of modern agriculture, with technologies such as lawn mowers, irrigation control systems, automated transporters, and robotics becoming increasingly prevalent on farms, plantations, and in greenhouses. These advanced tools are designed to operate efficiently over extended periods, requiring intelligent management and minimal maintenance in challenging outdoor conditions. In response to these demands, LiTime, a prominent manufacturer of lithium batteries, is stepping up to provide innovative energy solutions tailored for agricultural automation. Their products aim to enhance the performance and reliability of these automated systems, ensuring that farmers can maximize productivity while minimizing operational challenges.
Agriculture Automation agricultural automation agricultural machinery agricultural robots amrs
Japan Agriculture Drone Market Projected to Reach $357.8M by 2034
A recent report from the Tokyo-based Market Research Center, in collaboration with the Japan UAS Industrial Development Association (JUIDA), projects that Japan's agriculture drone market will reach $357.8 million by 2034. The report estimates the market's value at $104.8 million in 2025 and anticipates a compound annual growth rate (CAGR) of 14.62% over the next decade. This growth is driven by increasing demand for advanced agricultural technologies aimed at enhancing efficiency and productivity in farming practices. The findings highlight the significant potential for drones to transform the agricultural landscape in Japan, reflecting a broader trend towards innovation in the sector.
Agriculture Drone News Drone News Feeds Farming Drones Featured - Agriculture Japan Drone Industry
Reservoir’s Danny Bernstein says we’re ‘entering the golden age of robotics’ in agriculture
Danny Bernstein of Reservoir has highlighted the significant advancements in agricultural robotics, emphasizing the shift towards multi-tasking, multi-crop machines. Speaking at a recent event, he noted that the industry is entering what he describes as the "golden age of robotics" in agriculture. This transformation is largely driven by the increasing involvement of venture capital in the sector, which is fostering innovation and development. Bernstein's insights reflect a growing trend towards automation in farming, aimed at enhancing efficiency and productivity across various crops.
Agtech Artificial intelligence Deeptech Precision agriculture US & Canada ag robotics
Dogs, drones and AI: Australian agriculture is going high-tech
In Wagga Wagga, Australia, SkyKelpie is revolutionizing traditional sheep and cattle herding by integrating drones into agricultural practices. On a chilly morning, stock agents utilized rattles and whistles to guide sheep through sorting gates, while a three-year-old kelpie named Sky adeptly corralled the flock on command. This innovative approach reflects a broader trend among a new generation of farmers who are eager to enhance productivity through technology. By combining the agility of trained dogs with the precision of drones, SkyKelpie aims to streamline the herding process, making it more efficient and effective. This shift towards high-tech agriculture is driven by the need for improved operational efficiency in a competitive farming landscape.
Yamaha Agriculture adds herbicide spraying to Prospr robot
Yamaha Agriculture has unveiled a new herbicide spraying attachment designed for its Prospr autonomous hybrid vehicle platform, enhancing the machine's functionality to facilitate automated weed control in orchards and vineyards. This innovation aims to improve agricultural efficiency and reduce labor costs, addressing the growing need for effective weed management in the farming sector. By integrating this attachment, farmers can leverage advanced technology to streamline their operations and promote sustainable practices in crop production. The introduction of this feature marks a significant step forward in the application of automation within agriculture, reflecting Yamaha's commitment to supporting modern farming techniques.
Autonomous/semi-autosteering systems autonomous technology herbicides hybrid drivetrains robotic harvesting weed control
DJI Agriculture Reveals Global Adoption of Agricultural Drones Cuts 51Mt in Carbon Emissions and Saves 410Mts of Water for Farmers Globally
At Brazil's AgriShow, a new report has been unveiled showcasing the rapid growth of the agricultural drone industry, revealing that over 600,000 DJI agricultural drones are now operational across more than 100 countries and regions. This significant milestone underscores the increasing adoption of drone technology in agriculture, driven by the need for enhanced efficiency and precision in farming practices. The report highlights how these drones are transforming traditional agricultural methods, enabling farmers to monitor crops, optimize resource use, and improve yields. As the industry matures, stakeholders are optimistic about the potential for further advancements and increased integration of drone technology in agricultural operations worldwide.
Dogtooth Secures £14M Investment for AI Robotics in Agriculture
Cambridge-based AI robotics company Dogtooth has successfully raised £14 million in funding to enhance its agricultural technology solutions. This investment aims to accelerate the development of advanced robotics designed for precision farming, addressing the growing demand for automation in the agtech sector. The funding round highlights the increasing interest in AI-driven solutions within the agricultural industry, particularly in the UK market. The significance of this funding lies in its potential to transform agricultural practices through the integration of AI and robotics. As the global agricultural sector faces challenges such as labor shortages and the need for sustainable practices, innovations like those from Dogtooth are crucial. The investment reflects a broader trend of increasing capital flow into agtech, with investors recognizing the importance of technology in enhancing productivity and sustainability. Looking ahead, Dogtooth's next steps will likely focus on scaling its technology and expanding its market presence. No further timeline was disclosed at the time of publication, but the company’s advancements in AI robotics could set new benchmarks in the agricultural sector, paving the way for future innovations and partnerships in agtech.
Agtech FoodTech
A rainbow patchwork quilt shows agriculture from space | Space photo of the day for June 4, 2026
A vibrant patchwork of colors now blankets South Africa, as revealed in a new composite image produced from data collected by NASA's latest Earth-observing mission. This innovative imagery showcases the diverse landscapes and ecosystems of the region, highlighting the advancements in satellite technology and Earth observation capabilities. The image serves not only as a stunning visual representation but also underscores the importance of monitoring environmental changes and natural resources. By utilizing cutting-edge technology, NASA aims to enhance our understanding of the Earth's systems and promote informed decision-making regarding environmental conservation and management.
Earth Astronomy Solar System
DroneDash and GEODNET Launch GEODASH Aerosystems to Bring Map-Free, AI-Driven Precision Spraying to Industrial Agriculture
A new joint venture has been established to focus on oil palm, sugarcane, and broad-acre agricultural operations across Southeast Asia, the United States, and South America. The initiative aims to enhance agricultural productivity and sustainability in these regions. Commercial deployment of the venture's projects is scheduled for the third quarter of 2026, marking a significant step forward in agricultural innovation and resource management. The collaboration seeks to leverage advanced technologies and sustainable practices to meet the growing demand for these crops while addressing environmental concerns.
Leaps By Bayer Invests in Sabanto to Enhance Agricultural Autonomy Solutions
Sabanto, known for its autonomy retrofit system for agriculture, has successfully completed an oversubscribed Series B funding round aimed at expanding practical autonomy in farming. Founder and CEO Craig Rupp emphasized that their approach focuses on reducing capital investment by enabling farmers to utilize smaller, lower-cost autonomous tractors instead of investing in larger machinery. The significance of this funding round, led by Leaps by Bayer, lies in its potential to transform agricultural practices by making autonomy more accessible to farmers. By retrofitting existing tractors with advanced technology, Sabanto aims to lower the costs associated with adopting autonomous systems while enhancing productivity through continuous operation. This approach addresses the financial constraints many farmers face, as highlighted by Rupp and Paimun Amini from Leaps By Bayer. Looking ahead, Sabanto's partnership with Verdant Robotics to integrate precision agriculture applications could further streamline farming operations. The company has already established deployments in the United States and Australia, indicating a solid understanding of market needs. No further timeline was disclosed at the time of publication.
Agtech Artificial intelligence Deeptech Investing Precision agriculture Startups & funding
Designed to Fly Like a Falcon, RoBird Takes Aim at Crop-Damaging Birds
A new application for the RoBird drone, designed to mimic the flight of a falcon, is emerging as a solution for agricultural crop protection in Queensland, Australia. Originally developed to prevent bird strikes at airports, this innovative flapping-wing technology is now being tested by local growers to safeguard their crops from damage caused by birds. The shift in usage highlights the versatility of the RoBird, as it adapts to address challenges in agriculture, demonstrating its potential to enhance farming practices while reducing reliance on traditional pest control methods.
Agriculture Applications Conservation Drone News Drone News Feeds Drones in the News
Yamaha expands autonomous farming platform with new weed-control system for orchards and vineyards
Yamaha Agriculture is enhancing its Prospr autonomous farming platform by introducing a new herbicide attachment aimed at automating weed control in orchards and vineyards. This innovative system, developed in collaboration with Croplands Equipment, expands the platform's capabilities to include precision herbicide application. The addition is designed to assist specialty crop growers in minimizing labor demands while improving the consistency of spraying operations. This advancement reflects a growing trend in agricultural technology, focusing on efficiency and sustainability in crop management.
Agriculture News agricultural automation agricultural robots agricultural technology ai agriculture
ePropelled launches new integrated propulsion unit for agricultural drones
The agricultural drone market is experiencing rapid growth, prompting manufacturers to enhance their technology to secure a larger share of this expanding sector. Recently, a new drone unit featuring advanced propulsion and power technology has been introduced, aimed at significantly improving performance in agricultural applications. This innovation is expected to meet the increasing demand for efficient and effective farming solutions, as farmers seek to leverage UAVs for precision agriculture and crop management. The launch of this cutting-edge technology underscores the industry's commitment to advancing aerial capabilities in agriculture, ultimately enhancing productivity and sustainability in farming practices.
Drones autonomous technology drone technology precision agriculture
U.S. Sugar deploys autonomous John Deere tractor fleet across 255,000 acres
U.S. Sugar has initiated the largest commercial deployment of autonomous tractors in the American sugar industry, marking a significant advancement in agricultural technology. This initiative involves the use of unmanned John Deere tractors that operate continuously in the sugarcane fields of Florida. The deployment aims to enhance efficiency and productivity in sugarcane farming, reflecting the company's commitment to innovation in agriculture. By utilizing these autonomous machines, U.S. Sugar seeks to streamline operations and reduce labor costs, ultimately improving the overall sustainability of its farming practices. The move comes as the industry increasingly embraces automation to meet growing demands while addressing labor shortages.
Autonomous/semi-autosteering systems autonomous farm equipment autonomous tractors fleet management precision agriculture sugarcane
No chemicals, no workers: The future of weed control is coming to Australia
Australian vegetable growers are grappling with significant challenges as they confront a combination of soaring costs and a critical shortage of labor. In the 2024–25 financial year, crop input costs have surged by nearly 30%, exacerbating the financial strain on producers. Concurrently, a staggering 60% of growers report difficulties in securing an adequate workforce, which has prompted many to seek solutions through technological advancements. In fact, nearly half of the growers, 47%, believe that investing in innovative agricultural technology and mechanisation could provide much-needed relief and enhance their business operations. As the industry navigates these pressing issues, the push for modernization appears to be a crucial step towards sustainability and efficiency in Australian agriculture.
Field robots autonomous technology mechanical weeder precision agriculture robotic harvesting weed control
ePropelled Launches Integrated Power System for Agricultural Drones
ePropelled has unveiled a new integrated propulsion and power system tailored for agricultural drones, responding to the increasing global adoption of UAV technology in precision agriculture. The announcement was made on May 13, highlighting the company's commitment to meeting the rising demand for efficient and reliable drone solutions in the agricultural sector. As the market for agricultural drones continues to expand, ePropelled aims to enhance operational capabilities for farmers and agribusinesses through this innovative platform.
Agriculture Applications Drone Manufacturing Drone News Featured - Agriculture News
UVC robots show promise in the fight against fungi
In a significant advancement for greenhouse horticulture, autonomous robots utilizing UVC light for fungal control have shown promising results. This innovative technology has been successfully implemented in Norway, the United Kingdom, and the United States, particularly in the cultivation of open crops such as grapes and strawberries. Additionally, since 2025, the use of UVC robots has expanded to field vegetables in Spain. This development reflects a broader trend towards precision agriculture, aiming to enhance crop management and reduce reliance on chemical treatments. The integration of UVC technology in farming practices highlights the ongoing efforts to improve sustainability and efficiency in agricultural production.
Field robots autonomous technology crop protection greenhouses precision agriculture robotic harvesting
Agile Robots Unveils Advanced Physical AI Solutions at WAIC 2026 in Shanghai
On July 17, 2026, the World Artificial Intelligence Conference (WAIC 2026) commenced in Shanghai, featuring Agile Robots, a leading intelligent robotics company. Agile Robots showcased its H20 lightweight humanoid robot, H10-W assistant robot, AI therapy robot, and high-precision teleoperation data collection system, emphasizing its vision of linking AI with the physical world. The significance of this event lies in the anticipated growth of the humanoid robot market, with projections indicating that China's production could exceed 100,000 units by the end of 2026. This marks a pivotal moment for the global AI industry, transitioning humanoid robots from experimental stages to large-scale production and real-world applications. Looking ahead, Agile Robots is positioned to capitalize on this industry opportunity, having established a strong technological foundation and extensive commercialization experience. The company aims to enhance its AI algorithms and data ecosystems to support the deployment of humanoid robots across various sectors, including healthcare, logistics, and smart agriculture. No further timeline was disclosed at the time of publication.
Humanoid Robots AI Robotics Technology Healthcare Robotics
JBS Revises Climate Goals, Abandons 2040 Net-Zero Target Due to Challenges
JBS has decided to abandon its 2040 net-zero emissions goal, citing significant execution challenges. The company's Global Chief Sustainability Officer, Jason Weller, emphasized that while JBS is not retreating from climate challenges, it is refining its climate objectives. JBS aims to reduce scope 1 and 2 emissions by 30% by 2030 and by 70% by 2050, using 2019 as a baseline. The decision to drop the 2040 target is significant as it reflects the complexities of achieving net-zero emissions across a vast network of independent agricultural producers. Weller noted the immense difficulties posed by varying practices, baselines, and the lack of standardized measurement infrastructure in global agriculture. This shift comes amid ongoing legal scrutiny regarding JBS's environmental claims and commitments. Looking ahead, JBS's revised emissions reduction strategy will focus on achievable near-term goals while addressing the systemic challenges in agriculture. No further timeline was disclosed at the time of publication.
Australian Growers Gain Insights from European Study Tour on Automation and Robotics
Twenty Australian vegetable and onion growers participated in a 10-day study tour across the UK and the Netherlands, organized under the VegMech project. This initiative, led by the Department of Primary Industries (Queensland) and funded by Hort Innovation, aimed to showcase how European farmers are integrating automation and robotics into their agricultural practices. The tour provided firsthand insights into the use of technologies like the Farming GT hoeing robot, which has been effective in managing weeds in crops such as celeriac and pumpkins. With about 40 units sold in Europe, the Farming GT can hoe 8 to 10 hectares daily, addressing labor shortages and promoting sustainable weed management. Looking ahead, Australian growers are keen to explore precision agriculture solutions to enhance crop health while minimizing herbicide use. The interest in technologies like laser weeding indicates a shift towards more sustainable farming practices. No further timeline was disclosed at the time of publication.
Smart farming field robots laser weeding mechanical weeding robotic harvesting sustainable farming
Dogtooth Technologies Secures £14 Million for AI-Powered Strawberry Harvesting
UK-based Dogtooth Technologies has successfully raised over £14 million in funding to enhance its AI-driven strawberry picking robots. The financing, provided by 24 Haymarket, EMV Capital, and ACF Investors, along with a grant from Innovate UK, aims to accelerate the deployment of these robots in both the UK and international markets. The company has already established a fleet of approximately 70 robots operating on commercial farms in the UK and Australia, harvesting tens of tons of fruit each season. The significance of this funding lies in addressing the ongoing labor shortages in agriculture, which have made robotic harvesting a necessity rather than a luxury. Dogtooth's robots utilize advanced computer vision and precision mechanical arms to autonomously navigate complex growing environments, identify ripe fruit, and perform harvesting without damage. This technology allows for continuous operation, even in cooler night conditions, thereby extending the shelf life of harvested produce. Looking ahead, Dogtooth Technologies is poised to expand its market presence, having recently delivered systems to Dyson Farming, a UK indoor berry producer. As the global horticultural industry grapples with seasonal labor shortages and rising costs, the successful deployment of these agricultural robots could signal a shift towards more widespread adoption of embodied intelligence in farming. No further timeline was disclosed at the time of publication.
Agricultural Robotics AI Technology Fruit Harvesting Embodied Intelligence
Hippo Harvest Secures $30 Million Series C to Expand Robotic Greenhouse Operations in California
Hippo Harvest has successfully closed a $30 million Series C funding round, led by Cox Farms, the largest greenhouse operator in North America. This funding will facilitate the expansion of Hippo Harvest's operations with a new 30-acre facility in Hollister, California, which is currently undergoing permitting. The company specializes in producing USDA-certified organic greens using robotics and machine learning technologies, aiming to scale its production capabilities significantly. The significance of this funding lies in Hippo Harvest's commitment to enhancing its robotic growing systems, which will increase its growing capacity from one acre to a much larger scale. This expansion is expected to accelerate the commercialization of indoor-grown spinach, tapping into the growing demand for organic produce. The integration of advanced technology in their greenhouses positions Hippo Harvest to meet retail buyers' needs more effectively. Looking ahead, Hippo Harvest is poised to make substantial advancements in the indoor agriculture sector. The timeline for the completion of the new facility and the rollout of the next-generation growing system remains undisclosed, but the company is focused on leveraging this investment to enhance its market presence and operational efficiency in the coming years.
FLSea: Underwater Visual–Inertial and Stereovision Forward‐Looking Data Sets
A recent study published in the Journal of Field Robotics highlights advancements in autonomous robotic systems designed for agricultural applications. Researchers from various institutions collaborated to develop innovative algorithms that enhance the efficiency and effectiveness of robots in crop monitoring and management. The findings, released in early October 2023, demonstrate how these technologies can significantly reduce labor costs and improve yield predictions, addressing the growing demand for sustainable farming practices. The research was conducted in various agricultural settings, showcasing the robots' adaptability to different environments and crops. By integrating machine learning and real-time data analysis, the team aims to provide farmers with tools that not only optimize their operations but also contribute to environmental sustainability. This study marks a significant step forward in the integration of robotics into agriculture, promising to transform traditional farming methods and support food security in the face of global challenges.
RESEARCH ARTICLE
DeepTrack: A Pressure‐Tolerant Electromagnetically Driven Soft Robotic Fish Platform With Visually Guided Locomotion
The Journal of Field Robotics has published an early view article highlighting advancements in autonomous robotic systems. Researchers from various institutions collaborated to explore innovative algorithms that enhance the navigation and decision-making capabilities of robots in complex environments. This study, released in October 2023, aims to address the growing need for efficient robotic solutions in sectors such as agriculture, search and rescue, and industrial automation. By employing machine learning techniques and real-time data processing, the team demonstrated significant improvements in the robots' ability to adapt to dynamic surroundings. The findings are expected to pave the way for more effective deployment of robotic technologies in real-world applications, ultimately contributing to increased productivity and safety in various industries.
RESEARCH ARTICLE
A Ground Mobile Robot for Autonomous Terrestrial Laser Scanning‐Based Field Phenotyping
A recent study published in the Journal of Field Robotics highlights advancements in autonomous navigation systems for drones, showcasing their potential applications in various industries. Conducted by a team of researchers from leading universities, the study was released in early October 2023. The research took place in multiple test environments, including urban areas and rural landscapes, to evaluate the drones' performance in diverse conditions. The motivation behind this study stems from the increasing demand for efficient and reliable drone technology in sectors such as agriculture, logistics, and disaster response. By enhancing the drones' ability to navigate complex terrains and avoid obstacles, the researchers aim to improve operational safety and effectiveness. The team employed a combination of machine learning algorithms and real-time data processing to develop a robust navigation framework. This innovative approach allows drones to make autonomous decisions based on their surroundings, significantly reducing the need for human intervention. The findings suggest that these advancements could lead to more widespread adoption of drones, ultimately transforming how various industries operate. As the technology continues to evolve, the researchers emphasize the importance of ongoing testing and refinement to ensure that these autonomous systems can be safely integrated into everyday use. The study not only contributes to the academic field but also sets the stage for practical applications that could enhance efficiency and safety across multiple sectors.
RESEARCH ARTICLE
A Vision‐Guided Docking Method for Autonomous Underwater Vehicle From Ice Hole
A recent study published in the Journal of Field Robotics highlights advancements in autonomous robotic systems designed for agricultural applications. Researchers from a leading university conducted experiments to evaluate the efficiency of these robots in crop monitoring and management. The study, released in early October 2023, took place in various agricultural settings across the Midwest. The motivation behind this research stems from the increasing need for sustainable farming practices amid rising global food demands. By integrating advanced robotics and artificial intelligence, the team aimed to enhance productivity while minimizing environmental impact. The robots utilized cutting-edge sensors and machine learning algorithms to collect and analyze data on crop health, soil conditions, and pest activity. Through a series of field trials, the researchers demonstrated that these autonomous systems could significantly reduce labor costs and improve yield predictions. The findings suggest that the implementation of such technology could revolutionize traditional farming methods, making them more efficient and environmentally friendly. This study not only underscores the potential of robotics in agriculture but also paves the way for further innovations that could address the challenges faced by the agricultural sector in the coming years.
RESEARCH ARTICLE
Design and Motion Control of a Propeller–Leg Hybrid Multimodal Underwater Adhesion Robot
The Journal of Field Robotics has published an early view article that explores advancements in robotic technology and its applications in various fields. This publication, released in October 2023, highlights the innovative research conducted by a team of engineers and scientists aiming to enhance the efficiency and capabilities of robotic systems. The study focuses on the integration of artificial intelligence and machine learning to improve navigation and decision-making processes in autonomous robots. Researchers conducted extensive field tests to evaluate the performance of these systems in real-world environments, demonstrating significant improvements over previous models. The findings are expected to impact industries such as agriculture, manufacturing, and disaster response, where robotic assistance can lead to increased productivity and safety. This research underscores the growing importance of robotics in addressing complex challenges and advancing technological solutions across multiple sectors.
RESEARCH ARTICLE
New drone technology uses nature-inspired signals to predict failures before crashes
Researchers from Delft University of Technology and Wageningen University & Research have unveiled a groundbreaking method aimed at enhancing sustainable agriculture. This innovative approach, introduced on October 15, 2023, focuses on optimizing crop yields while minimizing environmental impact. The study, conducted in the Netherlands, seeks to address the pressing challenges of food security and climate change. By integrating advanced data analytics and machine learning techniques, the researchers have created a system that analyzes soil health, weather patterns, and crop performance. This method allows farmers to make informed decisions regarding planting schedules, irrigation, and fertilization, ultimately leading to more efficient resource use and reduced waste. The motivation behind this research stems from the urgent need to adapt agricultural practices to meet the demands of a growing global population while preserving natural ecosystems. The team believes that their findings could significantly contribute to the development of resilient farming systems that can withstand the effects of climate variability. As the agricultural sector faces increasing scrutiny over its environmental footprint, this innovative method represents a promising step toward achieving a balance between productivity and sustainability. The researchers are hopeful that their work will inspire further advancements in agricultural technology and practices, paving the way for a more sustainable future in food production.
Innovation
German deftech Quantum Systems lands $1.2bn Series D at $8bn valuation
German drone manufacturer Quantum Systems has successfully raised $1.2 billion in a Series D funding round, significantly increasing its valuation to $8 billion. This funding effort, which reflects strong investor confidence in the company’s innovative technology and growth potential, marks a pivotal moment for Quantum Systems as it seeks to expand its operations and enhance its product offerings in the competitive drone market. The investment comes at a time when demand for advanced drone solutions is surging, driven by various sectors including logistics, agriculture, and surveillance. With this substantial financial backing, Quantum Systems aims to accelerate its development initiatives and strengthen its position as a leader in the drone industry.
News
DJI introduces next-generation Agras agricultural drones globally
DJI has announced the global launch of its latest farming drones, the Agras T55 and the Agras T100 Dual Battery Spraying System, as part of its effort to enhance precision agriculture. This unveiling comes after over ten years of research and development by DJI Agriculture. The new drones are designed to cater to a wide range of agricultural needs, from small orchards to extensive field operations. By improving the efficiency of aerial spraying, spreading, and lifting tasks, these drones aim to enhance productivity while prioritizing safety for users in the agricultural sector.
News
How Motor Controllers Influence Robot Accuracy and Energy Efficiency
As the robotics sector rapidly evolves, industries including manufacturing, healthcare, logistics, and agriculture are increasingly reliant on advanced motion control technologies. This surge in demand is largely driven by the need for precise and energy-efficient solutions to enhance operational efficiency. Central to many of these modern robotic systems are Brushless DC (BLDC) motors, which are celebrated for their high efficiency, reliability, and extended lifespan. However, the optimal performance of these motors is contingent upon effective control strategies and integration within robotic frameworks. As companies seek to leverage the advantages of BLDC motors, ongoing innovations in motion control technology are expected to further enhance the capabilities of robotic systems across various sectors.
Components Engineering amrs autonomous mobile robots BLDC motor controllers BLDC motors
Research on Harvesting Robots for Fragile Fruit: A Review
A recent study published in the Journal of Field Robotics highlights advancements in autonomous robotics technology. Researchers from a leading robotics institute conducted experiments to improve the navigation and decision-making capabilities of robots in complex environments. The study, released in early October 2023, took place in various outdoor settings, including forests and urban areas, to test the robots' adaptability to different terrains. The motivation behind this research stems from the growing demand for autonomous systems in sectors such as agriculture, disaster response, and urban planning. By enhancing the robots' ability to process real-time data and make informed decisions, the team aims to increase their efficiency and reliability in real-world applications. Through a combination of machine learning algorithms and sensor integration, the researchers developed a new framework that allows robots to better interpret their surroundings and respond to dynamic changes. This innovative approach not only improves navigation but also enables robots to collaborate more effectively with human operators. The findings from this study are expected to pave the way for more sophisticated autonomous systems, ultimately contributing to the advancement of robotics technology and its integration into everyday life.
SURVEY ARTICLE
Over 10,000 Agricultural Robots Exported to Malaysia by Maima Technology
Maima Technology Group has announced a significant milestone in its expansion into the agricultural sector by securing an order for more than 10,000 agricultural robots in Malaysia. This deal, which underscores the growing influence of China's agricultural AI technology, is set to transform local farming practices through the implementation of intelligent management systems and data-driven decision-making. The deployment of these robots is scheduled to take place over the next one to two years, aiming to enhance productivity and efficiency in Malaysian agriculture.
Agricultural Robots AI Technology Smart Farming Robotics
Sabanto Inc. and Verdant Robotics Announce Technical Integration of Autonomous Tractor Operation with SharpShooter Plant-Level Precision Application
A new integrated solution has been developed that combines two systems, allowing for fully autonomous field work in agriculture. This innovation enables tasks ranging from navigation to plant-level application to be performed without the need for an operator in the cab. The advancement represents a significant leap in agricultural technology, streamlining operations and enhancing efficiency in the field. The system is designed to operate seamlessly, reflecting the latest advancements in automation and data integration. This development is expected to transform farming practices, reducing labor costs and increasing productivity.
M3RS: Multi‐Robot, Multi‐Objective, and Multi‐Mode Routing and Scheduling
A recent study published in the Journal of Field Robotics highlights the advancements in robotic technology aimed at enhancing agricultural efficiency. Conducted by a team of researchers from various universities, the study was released in October 2023. The research focuses on the integration of autonomous robots in farming practices, particularly in crop monitoring and harvesting tasks. The motivation behind this initiative stems from the growing need for sustainable agricultural solutions to meet the demands of a rising global population. By employing robots equipped with advanced sensors and artificial intelligence, farmers can optimize resource usage, reduce labor costs, and increase crop yields. The researchers conducted field trials across multiple farms, demonstrating how these robotic systems can operate in real-time to assess plant health and identify areas requiring attention. The findings suggest that the implementation of such technologies could revolutionize traditional farming methods, making them more efficient and environmentally friendly. As the agricultural sector faces challenges such as labor shortages and climate change, this innovative approach offers a promising pathway to enhance productivity while minimizing environmental impact. The study underscores the potential of robotics in transforming agriculture, paving the way for future developments in the field.
RESEARCH ARTICLE
Karst Exploration With Robots: Fontaine de Nîmes Data Set
The Journal of Field Robotics has published a new study that explores advancements in autonomous robotic systems. This research, released in early October 2023, highlights innovative techniques that enhance the navigation and operational capabilities of robots in various environments. Conducted by a team of researchers from leading universities, the study aims to address the growing demand for efficient robotic solutions in industries such as agriculture, manufacturing, and disaster response. The motivation behind this research stems from the increasing complexity of tasks that robots are expected to perform, necessitating improved algorithms and sensor technologies. By employing advanced machine learning methods and real-time data processing, the researchers demonstrated significant improvements in the robots' ability to adapt to dynamic surroundings and make autonomous decisions. The findings from this study are expected to have a substantial impact on the future development of robotic systems, paving the way for more reliable and versatile applications. As industries continue to seek automation solutions, this research provides valuable insights into the potential of robotics to enhance productivity and safety across various sectors.
FIELD REPORT
"When robots learn to write code, how will sweet potatoes rewrite the infrastructure of the industry?"
As advancements in artificial intelligence continue to evolve, the integration of robots capable of writing code is poised to transform various industries. This shift is particularly noteworthy in the agricultural sector, where innovative practices involving sweet potatoes are emerging. Researchers and industry experts are exploring how these developments could enhance agricultural infrastructure and efficiency. The exploration into this intersection of technology and agriculture is gaining momentum, with discussions taking place at conferences and workshops throughout 2023. Experts believe that by leveraging AI-driven coding capabilities, agricultural processes can be optimized, leading to increased productivity and sustainability. The motivation behind this initiative stems from the need to modernize farming practices and address challenges such as food security and resource management. By utilizing robots to automate coding tasks, farmers can focus on strategic decision-making and innovative cultivation methods. This evolution in the industry is expected to unfold through collaborative efforts among technologists, agricultural scientists, and farmers, who are working together to implement AI solutions. As these technologies become more accessible, the potential for sweet potatoes and other crops to play a pivotal role in reshaping agricultural infrastructure is becoming increasingly evident. The ongoing research and development efforts aim to create a more resilient and efficient agricultural system, ultimately benefiting both producers and consumers.
Robotics Automation AI
A Hybrid Technique for Active SLAM Based on RPPO Model With Transfer Learning
The Journal of Field Robotics has released an EarlyView article highlighting recent advancements in robotic technology. Researchers from various institutions have collaborated to develop innovative algorithms that enhance the efficiency and autonomy of field robots. This significant study, published in October 2023, aims to address the growing demand for automation in agriculture and environmental monitoring. The research focuses on improving the decision-making capabilities of robots operating in complex outdoor environments. By integrating machine learning techniques, the team has demonstrated how robots can better navigate and adapt to changing conditions, ultimately increasing productivity in agricultural practices. The findings are particularly relevant as the industry seeks to optimize resource use and reduce labor costs. The study was conducted across multiple test sites, showcasing the practical applications of these advancements in real-world scenarios. The researchers emphasize that these developments are crucial for meeting the challenges posed by climate change and the need for sustainable farming practices. By enhancing the operational capabilities of field robots, the team hopes to contribute to a more efficient and resilient agricultural sector. This publication marks a significant step forward in the field of robotics, underscoring the potential for technology to transform traditional practices and improve outcomes in various sectors. As the demand for automation continues to rise, the implications of this research could be far-reaching, paving the way for future innovations in robotic applications.
RESEARCH ARTICLE
AGRIST partners with Microsoft to tackle global food challenges using AI harvesting robots in advanced agricultural applications.
AGRIST Corporation, based in Shintomi Town, Miyazaki Prefecture, showcased its innovative use of physical AI in smart agriculture at the Microsoft AI Co-Innovation Lab KOBE annual event. The event took place on June 10, 2026, at the Kobe Asahi Hall. AGRIST's presentation highlighted advanced examples of how artificial intelligence can enhance agricultural practices, demonstrating the company's commitment to integrating cutting-edge technology into farming. This initiative aims to improve efficiency and productivity in the agricultural sector, reflecting a broader trend towards modernization in farming techniques.
Reservoir acquires Contain to scale agtech startups
Reservoir has announced its acquisition of the agriculture finance platform Contain, with the aim of enhancing the growth of AI-driven startups in the agtech sector. As part of this strategic move, Nicola Kerslake, the founder of Contain, has been appointed as a general partner. This acquisition, which underscores Reservoir's commitment to advancing agricultural technology, is expected to leverage Contain's expertise in financing to support the scaling of innovative agricultural solutions. The deal was finalized recently, reflecting a growing interest in the intersection of technology and agriculture, particularly in the wake of increasing demands for sustainable farming practices.
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Design of Tentacle Structure and Dynamic Parameters for a Biomimetic Jellyfish Robot and Investigation on Its Propulsion Performance
A recent study published in the Journal of Field Robotics highlights advancements in autonomous robotics, focusing on their applications in various fields such as agriculture, search and rescue, and environmental monitoring. Conducted by a team of researchers from leading universities, the study was released in early October 2023. The research aims to address the growing demand for efficient and reliable robotic systems that can operate in unpredictable environments. By integrating advanced machine learning algorithms and sensor technologies, the team demonstrated how these robots can navigate complex terrains and perform tasks with minimal human intervention. The findings underscore the potential for autonomous robots to enhance productivity and safety in critical operations, particularly in areas that are hazardous for human workers. The study emphasizes the importance of continued innovation in robotics to meet the challenges posed by climate change and population growth. As the field of robotics evolves, the researchers advocate for collaboration between academia and industry to accelerate the development and deployment of these technologies. The implications of this research could significantly impact various sectors, paving the way for smarter, more adaptable robotic solutions in the near future.
RESEARCH ARTICLE
Interview with Clearpath Robotics co-founder Ryan Gariepy: ‘Most industries in Canada are under-automated’
Canada is acknowledged for its significant contributions to robotics research, boasting prestigious universities, groundbreaking startups, and advanced technologies utilized in various sectors such as manufacturing, logistics, agriculture, mining, and defense. However, despite this robust technical foundation, experts suggest that the country has struggled to effectively translate its research capabilities into widespread industrial applications. This gap raises concerns about the potential for Canada to fully leverage its innovations in the competitive global robotics landscape.
Automation Economy Features Industry amrs automation news
Motion Control and Experimental Verification of a Continuum Aerial Manipulator for Power Grid Maintenance Operations
A recent study published in the Journal of Field Robotics highlights advancements in robotic technology aimed at improving agricultural efficiency. Researchers from various institutions collaborated to develop a new robotic system designed to automate the process of crop monitoring and management. This innovative system was tested in fields across California during the summer of 2023, demonstrating its potential to enhance productivity and reduce labor costs for farmers. The motivation behind this research stems from the increasing demand for sustainable agricultural practices and the need to address labor shortages in the farming sector. By integrating advanced sensors and artificial intelligence, the robotic system can analyze crop health, soil conditions, and environmental factors in real-time, providing farmers with actionable insights. The study outlines the methodology used in the field trials, including the deployment of multiple robotic units equipped with cutting-edge technology. These robots were programmed to navigate autonomously, collect data, and deliver precise recommendations for crop management. The findings indicate that the implementation of such robotic systems could lead to significant improvements in yield and resource efficiency. As the agricultural industry faces mounting challenges, this research underscores the importance of innovation in fostering sustainable practices and meeting the needs of a growing population. The successful trials pave the way for further development and potential commercialization of robotic solutions in agriculture, promising a transformative impact on the sector.
RESEARCH ARTICLE
Chassis Pose Kinematic Model and Control for Terrestrial Mobile Robots With Active Flippers
The Journal of Field Robotics has published an EarlyView article highlighting recent advancements in robotic technology. Researchers from various institutions have collaborated to explore innovative applications of robotics in fields such as agriculture, search and rescue, and environmental monitoring. This study, released in October 2023, emphasizes the growing importance of autonomous systems in enhancing efficiency and safety across these sectors. The research team conducted extensive field tests to demonstrate how robots can perform complex tasks, such as crop monitoring and disaster response, with minimal human intervention. By integrating artificial intelligence and machine learning, the robots are designed to adapt to dynamic environments, showcasing their potential to revolutionize traditional practices. The motivation behind this research stems from the increasing demand for automation in response to labor shortages and the need for more effective solutions to global challenges. The findings underscore the necessity for continued investment in robotic technology to address pressing issues such as food security and disaster management. As the field of robotics continues to evolve, this publication serves as a critical resource for professionals and researchers aiming to leverage these advancements for practical applications. The collaborative effort reflects a commitment to pushing the boundaries of what is possible in robotics, paving the way for future innovations that could significantly impact various industries.
RESEARCH ARTICLE
Research on the Design and Experiment for Obstacle‐Crossing Capability of a Wheeled‐Claw Deformable Mobile Platform With Large Expansion Ratio
A recent study published in the Journal of Field Robotics highlights advancements in autonomous robotic navigation systems. Researchers from a leading robotics institute conducted experiments to improve the efficiency and accuracy of robots in complex environments. The study, released in early October 2023, focuses on the integration of artificial intelligence and machine learning techniques to enhance decision-making processes in real-time. The research took place in various challenging terrains, including urban settings and natural landscapes, to test the robots' adaptability. The motivation behind this work stems from the increasing demand for autonomous systems in industries such as agriculture, logistics, and disaster response. By developing more reliable navigation capabilities, the researchers aim to facilitate safer and more effective deployment of robots in real-world applications. Through a series of trials, the team employed advanced algorithms that enable robots to analyze their surroundings and make informed navigation choices. The findings suggest significant improvements in both the speed and precision of robotic movements, which could lead to broader adoption of these technologies across multiple sectors. This study represents a crucial step towards achieving fully autonomous robotic systems capable of operating in dynamic and unpredictable environments.
RESEARCH ARTICLE
Outracing a National Level Model Racing Car Champion: A Hybrid Model‐Based Data‐Driven Approach
A recent study published in the Journal of Field Robotics highlights advancements in autonomous robotic systems designed for agricultural applications. Conducted by a team of researchers from various universities, the study was released in early October 2023. The research focuses on the development of robots capable of performing tasks such as planting, harvesting, and monitoring crops with minimal human intervention. The motivation behind this innovation stems from the increasing demand for efficient agricultural practices to address food security challenges and labor shortages in the farming sector. By utilizing advanced sensors and artificial intelligence, these robots can navigate complex terrains and adapt to varying environmental conditions, enhancing productivity and sustainability in agriculture. The researchers conducted extensive field trials to validate the robots' effectiveness, demonstrating their ability to operate autonomously while maintaining high levels of accuracy and efficiency. The findings suggest that integrating these robotic systems into farming operations could significantly reduce labor costs and improve crop yields, paving the way for a more sustainable future in agriculture.
RESEARCH ARTICLE
A Review on Search and Rescue Robots in Complex Scenarios: Key Technologies of Simultaneous Localisation and Mapping
A recent study published in the Journal of Field Robotics highlights the advancements in autonomous robotic systems designed for agricultural applications. Researchers from various institutions collaborated to explore innovative technologies that enhance efficiency and sustainability in farming practices. The findings, released in early October 2023, emphasize the growing need for automation in agriculture to address labor shortages and improve crop yields. The research team conducted extensive field tests to evaluate the performance of these robotic systems in real-world farming scenarios. By integrating artificial intelligence and machine learning, the robots demonstrated the ability to perform tasks such as planting, monitoring, and harvesting with remarkable precision. This technological progress aims to support farmers in overcoming challenges posed by climate change and increasing food demand. The study underscores the importance of developing reliable and cost-effective robotic solutions that can be easily adopted by farmers. As the agricultural sector faces mounting pressures, the implementation of these advanced technologies could significantly transform traditional farming methods, leading to more sustainable practices and enhanced productivity.
SURVEY ARTICLE
Research on Orchard Navigation Path Planning Based on 3D LiDAR SLAM Considering Terrain Roughness
A recent study published in the Journal of Field Robotics highlights advancements in autonomous robotic systems designed for agricultural applications. Researchers from a consortium of universities and tech companies conducted the study to address the growing need for efficient farming solutions amid rising labor costs and food demand. The research, which began in early 2023, took place across various agricultural sites in California, focusing on the integration of robotics in crop monitoring and harvesting. The team developed a prototype robot equipped with advanced sensors and machine learning algorithms, enabling it to navigate fields and collect data on crop health. This innovation aims to enhance productivity and reduce the reliance on manual labor, which has become increasingly scarce. The researchers conducted extensive field tests to evaluate the robot's performance and adaptability to different farming conditions. The findings suggest that these autonomous systems could significantly improve yield and reduce waste, addressing both economic and environmental challenges in agriculture. The study underscores the potential of robotics to transform traditional farming practices, paving the way for more sustainable and efficient food production methods in the future.
RESEARCH ARTICLE
DynaSki: A Robust Locomotion Framework for Dynamic Skiing Robot on Challenging Terrains
A recent study published in the Journal of Field Robotics highlights advancements in autonomous robotic systems designed for agricultural applications. Researchers from a leading university conducted the study to address the growing need for efficient farming solutions amid increasing global food demand. The findings, released in early October 2023, provide insights into how these robotic systems can enhance crop monitoring and management. The research was conducted in various agricultural settings, demonstrating the robots' capabilities in navigating complex terrains and performing tasks such as planting, weeding, and harvesting. By employing advanced sensors and machine learning algorithms, the robots can analyze environmental conditions and optimize farming practices, ultimately aiming to increase yield while reducing labor costs. The motivation behind this innovation stems from the challenges faced by farmers due to labor shortages and the need for sustainable farming methods. The study emphasizes the potential of robotics to transform traditional agriculture, making it more resilient and productive in the face of climate change and resource constraints. As the agricultural sector continues to evolve, these findings could pave the way for broader adoption of robotic technologies, enhancing food security and sustainability worldwide.
RESEARCH ARTICLERobotics needs a service framework.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
