Industry Briefing
A single destination for timely, editor-curated robotics news from around the world.
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
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
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
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
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
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
Pioneering in the Dutch polder again with a robot
Mariëlle Keijzer has been utilizing a FarmDroid FD20 field robot for the past three years to enhance her sugar beet farming operations. This innovative technology allows her to efficiently perform tasks such as sowing, spot spraying, and hoeing, marking a significant advancement in agricultural practices. Keijzer's experience with the robot highlights her role as a pioneer in the integration of automation in farming, showcasing the potential benefits of precision agriculture. The ongoing use of the FarmDroid underscores the growing trend towards sustainable farming solutions that aim to improve efficiency and reduce labor costs.
Smart farming Smart Farming
Redefining Optimal Coverage Path Planning for FLS‐Equipped AUVs With Deep Reinforcement Learning
The Journal of Field Robotics has recently published an EarlyView article highlighting advancements in robotic technology. Researchers from various institutions have collaborated to explore innovative applications of robotics in field environments. This study, released in October 2023, focuses on enhancing the efficiency and effectiveness of robotic systems in agricultural and environmental monitoring tasks. The motivation behind this research stems from the increasing demand for precision agriculture and sustainable practices, which necessitate the integration of advanced robotics. By employing cutting-edge algorithms and sensor technologies, the team aims to improve data collection and analysis in challenging outdoor conditions. The findings suggest that these advancements could significantly reduce labor costs and increase productivity for farmers, while also providing critical insights for environmental conservation efforts. This collaborative effort underscores the potential of robotics to transform traditional practices and address pressing global challenges.
RESEARCH ARTICLE
Supernumerary Robotic Limbs: A Quantitative Analysis and Review of Design, Embodiment, and Future Challenges
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 effectiveness of these robots in improving crop management and yield. The study, which took place over the summer months of 2023, focused on various farming techniques and the integration of robotics in precision agriculture. The motivation behind this research stems from the growing need for sustainable farming practices amid increasing global food demand and labor shortages in the agricultural sector. By employing advanced sensors and machine learning algorithms, the robots demonstrated significant improvements in efficiency and accuracy in tasks such as planting, monitoring, and harvesting crops. The findings indicate that the implementation of these robotic systems can lead to enhanced productivity and reduced environmental impact, paving the way for the future of farming. The research team plans to continue refining these technologies and exploring their potential applications in different agricultural settings.
SURVEY ARTICLE
Drones learn to squeeze through narrow gaps using onboard AI control
Drones, or unmanned aerial vehicles (UAVs), have become integral tools across diverse sectors, including filmmaking, aerial photography, industrial inspections, precision agriculture, and emergency response. Despite their growing popularity and capabilities, many drones face challenges when navigating cluttered environments. They often struggle to maneuver through tight spaces or access hard-to-reach areas, limiting their effectiveness in certain situations. As the demand for more versatile and agile drones increases, advancements in technology are necessary to enhance their navigation and operational capabilities in complex surroundings.
Robotics
Heavy‐UUV Docking System for a Fixed Seabed Station Based on Differential Optical‐Guidance Beacons
The Journal of Field Robotics has recently published an early view article highlighting advancements in robotic technology. Researchers from various institutions have collaborated to develop a new autonomous navigation system that enhances the efficiency and safety of field operations. This innovative system was tested in agricultural settings in California during the summer of 2023, where it demonstrated significant improvements in crop monitoring and resource management. The motivation behind this research stems from the growing need for precision agriculture, which aims to optimize farming practices and reduce environmental impact. By integrating advanced sensors and machine learning algorithms, the team was able to create a robotic platform capable of navigating complex terrains while collecting valuable data on soil health and crop conditions. The successful implementation of this technology could revolutionize the agricultural sector, providing farmers with tools to make informed decisions and increase productivity. The findings are expected to contribute to ongoing discussions about sustainable farming practices and the role of robotics in addressing global food security challenges.
RESEARCH ARTICLE
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
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
The art(s) of laser weeding demystified: laser expert Matthias Lautenschläger explains
Farmers, growers, and contractors worldwide are increasingly turning their attention to laser weeding, a cutting-edge agricultural technique gaining traction in the industry. This innovative method utilizes high-intensity lasers to target and eliminate weeds without harming crops, offering a sustainable alternative to traditional herbicides. As the agricultural sector grapples with rising temperatures and the challenges posed by climate change, the urgency for effective and environmentally friendly solutions has never been greater. Laser weeding not only reduces the reliance on chemical treatments but also minimizes soil disturbance, promoting healthier ecosystems. The growing interest in this technology is evident as more agricultural professionals seek training and information on its implementation. Demonstrations and workshops are being organized globally, showcasing the efficiency and precision of laser weeding systems. As farmers look for ways to enhance productivity while adhering to sustainable practices, laser weeding stands out as a promising solution that addresses both economic and environmental concerns. With the agricultural landscape evolving rapidly, this method could redefine weed management strategies in the years to come.
Smart farming laser weeding machinery precision agriculture weed control
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
ARA spot sprayer by Ecorobotix receives new algorithms
Ecorobotix, a Swiss manufacturer, has enhanced its ARA spot sprayer with advanced algorithms, enabling the machine to recognize additional crops, including cauliflower, broccoli, and both red and white cabbage. This upgrade reflects the company's commitment to improving agricultural technology and precision farming. The new capabilities are expected to optimize crop management and pesticide application, ultimately promoting sustainable farming practices. The enhancements were announced in October 2023, showcasing Ecorobotix's ongoing innovation in the agricultural sector.
Smart farming algorithms crop scouting precision agriculture spot spraying weed control
TerraClear launches autonomous TerraScout robot for field scouting
TerraClear has launched the TerraScout, an innovative autonomous robot aimed at enhancing precision farming through advanced technology. This robot is capable of capturing ultra-high-resolution imagery of agricultural fields and transforming that data into actionable insights for farmers. The introduction of the TerraScout comes as the agricultural industry increasingly seeks efficient solutions to optimize crop management and yield. By leveraging cutting-edge imaging technology, TerraClear aims to empower farmers with detailed information about their fields, ultimately improving decision-making processes and productivity. The rollout of the TerraScout marks a significant advancement in agricultural technology, reflecting a growing trend towards automation and data-driven farming practices.
Field robots autonomous farm equipment crop scouting precision agriculture weed control yield optimization
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
Fieldwork Robotics Receives £2.5 Million Investment for Berry Harvesting Automation
Fieldwork Robotics has secured a £2.5 million investment from SEED Innovations to enhance its selective and modular berry harvesting robots. This funding is part of a Seed+ fundraising initiative announced in April 2026, aimed at addressing labor shortages and rising costs in berry production. The investment will facilitate the transition from technology validation to commercial trials, with production robots already deployed in a two-year program in Norfolk and Stafford. The significance of this investment lies in its potential to alleviate pressing challenges faced by berry growers, including labor shortages and increased harvesting costs. By utilizing autonomous harvesting robots, Fieldwork aims to boost productivity and reduce reliance on seasonal labor, thereby minimizing food waste and stabilizing consumer prices. Jim Mellon, chairman of SEED Innovations, emphasizes the opportunity for robotics and AI to tackle real-world agricultural issues, aligning with Fieldwork's mission to enhance farm efficiency. Looking ahead, Fieldwork Robotics anticipates operating multi-robot fleets on farms by 2027, contingent on the success of ongoing trials. Additionally, the company plans to expand its operations internationally, with trials set to take place in Australia as part of its global growth strategy. No further timeline was disclosed at the time of publication.
Agriculture Financials & Investments agri robotics agricultural robotics agriculture automation
Eternal.ag scales fully-autonomous harvesting robots with first customer Van Noord Growers
Eternal.ag, a German agritech startup, has launched its fully-autonomous greenhouse harvesting robot, known as Harvester, at Van Noord Growers in Zeeland, Netherlands. This deployment is part of a long-term agreement aimed at enhancing the efficiency of Van Noord Growers, which cultivates tomatoes and cucumbers across an 8.5-hectare facility. The Harvester robot is specifically designed for truss harvesting, offering a solution to labor shortages and increasing productivity in greenhouse operations. The collaboration reflects a growing trend in the agricultural sector to integrate advanced technology to streamline processes and improve crop yields.
Agriculture News agribusiness technology agricultural AI agricultural automation agricultural innovation
Robotics firm Eternal and seed breeder Rijk Zwaan partner to optimize tomato varieties for greenhouse automation
Eternal.ag and Rijk Zwaan have announced a collaboration focused on identifying tomato varieties that can enhance robotic crop work in greenhouses. This initiative seeks to leverage the expertise of both companies to gain insights into plant characteristics that would facilitate the automation of greenhouse operations. The partnership aims to pave the way for a future where crop management is fully automated, thereby improving efficiency and productivity in agricultural practices. By combining Rijk Zwaan's extensive global experience in fruit cultivation with eternal.ag's innovative technologies, the two organizations are working together to explore the potential of various tomato strains in supporting advanced robotic systems.
Agriculture News agri robotics agricultural automation agricultural innovation agricultural robotics
Elbit Systems acquires Bluewhite: a new chapter for autonomous farming
Israeli defense and technology firm Elbit Systems has finalized its acquisition of Blue White Robotics, commonly referred to as Bluewhite, through its subsidiary FUSE. This strategic move, completed recently, positions Elbit to enhance its capabilities in the rapidly growing field of autonomous vehicle technology, particularly for agricultural applications. Founded in 2017 and based in Tel Aviv, Bluewhite has garnered recognition as a leading innovator in this sector, making the acquisition a significant step for Elbit in expanding its technological portfolio and market reach.
Autonomous/semi-autosteering systems autonomous technology autonomous tractors digitalization iot precision agriculture
Crop cameras broaden the view on real-time nitrogen application
Recent advancements in crop camera technology are transforming the way farmers apply fertilizers, shifting from a static approach to a dynamic, real-time decision-making process. These innovative camera systems continuously monitor crop growth and biomass across entire fields, enabling immediate adjustments to nitrogen application rates as conditions change. This development not only promotes more precise fertilizer use but also reduces waste and enhances the efficiency of autonomous farming systems. Future Farming is exploring these technological advancements, examining emerging suppliers, and assessing the future trajectory of this impactful agricultural innovation.
Smart farming multispectral sensors nitrogen management precision agriculture variable rate application
‘Robot saves time and delivers high-quality work, however, not the right moment to invest’
Marijn Vermuë has completed a year-long trial of the AgBot 5.115T2 robotic tractor, expressing enthusiasm for its performance. The lightweight tracked machine has proven to be beneficial not only in reducing labor costs but also in enhancing agronomic practices. Vermuë's positive experience highlights the potential of advanced agricultural technology to improve efficiency and productivity in farming operations.
Field robots autonomous tractors field robots precision agriculture robotic harvesting sensors
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.
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.
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.
NPPL+R tests 10 innovations in precision farming and robotics
As spring approaches, participants and advisors in the NPPL+R projects are intensifying their efforts in precision farming and robotics. This practical program aims to enhance agricultural practices at the grower level by testing a variety of innovative techniques, including sowing, crop care, and harvesting. The initiative seeks to improve efficiency and productivity in farming, responding to the increasing demand for sustainable agricultural solutions. With the growing season on the horizon, stakeholders are preparing to implement these advancements, which are expected to play a crucial role in modernizing farming practices.
Smart farming autonomous tractors precision farming robotic harvesting
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
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.
Development and Preliminary Evaluation of a Machine Vision‐Guided Smart Sprayer Prototype Toward Precision Vegetable Weeding
In May 2026, researchers published a significant study in the Journal of Field Robotics, focusing on advancements in robotic technology. The study, appearing in Volume 43, Issue 3, pages 1973-1987, highlights innovative methodologies for enhancing the autonomy and efficiency of field robots. Conducted by a team of experts in robotics and artificial intelligence, the research aims to address the growing demand for automated solutions in various industries, including agriculture, construction, and disaster response. The motivation behind this research stems from the need to improve operational capabilities in challenging environments, where human intervention may be limited or hazardous. By employing advanced algorithms and machine learning techniques, the researchers demonstrated how robots can better navigate complex terrains and perform tasks with minimal human oversight. The findings are expected to have a profound impact on the future of robotics, paving the way for more reliable and versatile machines capable of operating in diverse settings. This study not only contributes to the academic field but also offers practical applications that could revolutionize industries reliant on automation. As the demand for efficient robotic systems continues to rise, this research represents a crucial step towards achieving greater autonomy in robotic operations.
RESEARCH ARTICLE
Sabanto and Verdant Robotics integrate autonomy and precision application systems
U.S. companies Sabanto Inc. and Verdant Robotics have announced a groundbreaking integration of their systems, marking a significant advancement in agricultural automation. This collaboration allows producers to automate various fieldwork tasks, including navigation and plant-level input application, without the need for an operator present in the cab. The integration aims to enhance efficiency and productivity in farming operations, responding to the growing demand for innovative agricultural solutions. By leveraging advanced technology, both companies are paving the way for a new era of autonomous farming, which could transform traditional practices and address labor shortages in the industry.
Autonomous/semi-autosteering systems autonomous farm equipment autonomous tractors crop management systems retrofit kits
From overlap to precision: How a retrofit autosteer system changed life on the farm
Frans van den Borne, an operator at the Dutch agricultural company Van den Borne Voerman based in Hooge Mierde, made a significant investment in agricultural technology three years ago by purchasing a CHCNAV NX510 retrofit autosteer system. Van den Borne had been considering the adoption of such technology for some time but was deterred by the high costs associated with other brands, specifically Trimble. The discovery of the more affordable CHCNAV system ultimately led to his decision to enhance the efficiency of his farming operations.
Autonomous/semi-autosteering systems automated steering systems autosteer farm management fuel retrofit kits
Precision Error Compensation Algorithm for Automated Drill Pipe Gripping in Underground Coal Mine Drilling Robots
A recent study published in the Journal of Field Robotics highlights advancements in robotic technology, focusing on the development of autonomous systems for agricultural applications. Conducted by a team of researchers from leading universities, the study was released in June 2026 and emphasizes the growing need for efficient farming solutions amid increasing global food demand. The research showcases innovative robotic designs capable of performing tasks such as planting, harvesting, and monitoring crop health with minimal human intervention. By integrating artificial intelligence and machine learning algorithms, these robots can adapt to varying environmental conditions and optimize their performance over time. The motivation behind this initiative stems from the challenges faced by the agricultural sector, including labor shortages and the need for sustainable practices. The researchers aim to address these issues by providing farmers with tools that enhance productivity while reducing the environmental impact of farming activities. Through extensive field trials, the team demonstrated the effectiveness of these autonomous systems in real-world agricultural settings, illustrating their potential to revolutionize farming practices. The findings suggest that widespread adoption of such technologies could significantly improve crop yields and resource management, ultimately contributing to food security in the face of a growing global population.
RESEARCH ARTICLE
Ultrasonic Atomization Enables Precision Robotic Vaccine Spraying
Researchers have developed a piezoelectric microporous atomizer designed specifically for poultry immunization robots, a significant advancement aimed at improving disease control in intensive farming systems. This innovative technology, which ensures uniform droplet formation, is expected to enhance the efficiency and effectiveness of vaccinations administered to poultry. The atomizer's design addresses the challenges faced in traditional immunization methods, where inconsistent droplet sizes can lead to uneven vaccine distribution and reduced efficacy. By implementing this new atomizer, farmers can achieve better health outcomes for their flocks, ultimately contributing to more sustainable agricultural practices. The development comes at a crucial time as the poultry industry seeks to combat rising disease threats and improve overall animal welfare.
An Adaptive Double Closed‐Loop Path Tracking Control Method for High‐Precision Autonomous Navigation of Agricultural Machinery
In a recent study published in the Journal of Field Robotics, researchers have unveiled significant advancements in robotic navigation systems, particularly focusing on autonomous vehicles. This groundbreaking research, conducted by a team of engineers and computer scientists, was released in May 2026 and highlights the integration of artificial intelligence with real-time data processing to enhance navigation accuracy. The study took place in various urban environments, where the team tested their innovative algorithms designed to improve obstacle detection and route optimization. The motivation behind this research stems from the increasing demand for safer and more efficient autonomous transportation solutions in densely populated areas. Through a series of simulations and field tests, the researchers demonstrated how their approach allows vehicles to adapt to dynamic conditions, such as changing traffic patterns and unexpected obstacles. This capability not only promises to reduce the likelihood of accidents but also aims to improve overall traffic flow. The findings are expected to have a profound impact on the future of urban mobility, potentially leading to widespread adoption of autonomous vehicles that can navigate complex environments with greater reliability. As cities continue to evolve, the integration of such advanced robotic systems could play a crucial role in shaping the future of transportation.
RESEARCH ARTICLE
From budget to premium: New wave of low-cost autosteer expands across segments
Chinese manufacturers are making significant strides in the global retrofit autosteer systems market, with companies like ComNav, CHCNAV, and FJDynamics leading the charge. These firms are not only offering cost-effective solutions that feature high-accuracy GNSS positioning but are also enhancing their product lines with advanced, premium-level technologies. This shift is occurring as the demand for innovative agricultural solutions grows, driven by the need for increased efficiency and precision in farming practices. As these manufacturers continue to innovate and expand their offerings, they are positioning themselves as key players in a rapidly evolving industry, poised to meet the needs of modern agriculture.
Smart farming auto-steer autonomous technology guidance systems precision farming retrofit kits
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
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
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
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
A Low‐Drift Legged Robot State‐Estimation System Through Combined Physics‐Informed Contact Estimation Network and Full Joint State
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 precision of farming robots. The findings, released in early October 2023, demonstrate how these technologies can significantly improve crop monitoring and management. The study was conducted across multiple farms in the Midwest, where the team tested the robots' capabilities in real-world conditions. By utilizing advanced sensors and machine learning techniques, the robots were able to identify crop health issues and optimize resource usage, such as water and fertilizers. This approach not only aims to increase agricultural productivity but also addresses sustainability concerns in farming practices. The motivation behind this research stems from the growing need for efficient food production methods to meet the demands of a rising global population. As traditional farming faces challenges such as labor shortages and environmental impacts, the integration of autonomous systems presents a viable solution. The researchers emphasized that the successful implementation of these technologies could lead to a transformative shift in how agriculture is practiced, ultimately benefiting both farmers and consumers alike.
RESEARCH ARTICLE
Design, Development, and Field Testing of a Tomato Bunch Harvesting Robot
The Journal of Field Robotics has recently published an early view article highlighting advancements in robotic technology. This publication, which emerged in October 2023, focuses on the innovative applications of robotics in various fields, including agriculture, search and rescue, and environmental monitoring. Researchers and engineers from leading institutions contributed to the study, aiming to address pressing challenges faced in these sectors. The article emphasizes the importance of integrating advanced algorithms and machine learning techniques to enhance the efficiency and effectiveness of robotic systems. By showcasing real-world applications, the authors illustrate how these technologies can improve productivity and safety, particularly in hazardous environments. The motivation behind this research stems from the increasing demand for automation and precision in industries that require high levels of accuracy and reliability. As global challenges such as climate change and food security become more pronounced, the role of robotics is becoming increasingly vital. Through a combination of theoretical analysis and practical experimentation, the study presents a comprehensive overview of the current state of robotic technology and its potential future developments. This early view article serves as a significant contribution to the ongoing discourse in the field of robotics, paving the way for further innovations that could transform multiple industries.
RESEARCH ARTICLE
Deep Learning‐Driven Steering Angle Prediction and Scene Understanding via Harmonic Carpet Weaver Optimization
In June 2026, the Journal of Field Robotics published a comprehensive study examining advancements in robotic technologies and their applications in various fields. This research highlights the contributions of leading experts in robotics, who analyzed the latest innovations and their potential to enhance efficiency and safety in sectors such as agriculture, manufacturing, and disaster response. The study emphasizes the growing importance of integrating artificial intelligence and machine learning into robotic systems to improve their adaptability and functionality. Researchers conducted extensive field tests to evaluate the performance of these robots in real-world scenarios, demonstrating their effectiveness in tasks ranging from precision farming to search and rescue operations. The motivation behind this research stems from the increasing demand for automation and the need for more reliable and intelligent robotic solutions to address complex challenges faced by industries today. By providing empirical data and insights, the study aims to inform policymakers, industry leaders, and researchers about the transformative potential of robotics. As the field continues to evolve, the findings presented in this publication are expected to influence future developments and investments in robotic technologies, ultimately shaping the landscape of automation in the coming years.
RESEARCH ARTICLE
Innovative Soft Material‐Assisted Robot Grasping Devices: From Design Concept to Fabrication and Application Scenarios
In June 2026, the Journal of Field Robotics published a comprehensive study examining the advancements in robotic technologies and their applications in various fields. The research highlights significant developments in autonomous navigation, sensor integration, and machine learning, showcasing how these innovations are transforming industries such as agriculture, healthcare, and logistics. The study, conducted by a team of leading researchers in robotics, aims to address the growing need for efficient and reliable robotic systems in response to increasing demands for automation and precision in operations. By analyzing recent case studies and experimental results, the authors provide insights into the effectiveness of these technologies in real-world scenarios. The findings suggest that as robotic systems become more sophisticated, they can enhance productivity and safety while reducing operational costs. The research emphasizes the importance of continued investment in robotics research and development to keep pace with technological advancements and meet future challenges. This publication serves as a critical resource for industry professionals, policymakers, and academics interested in the future of robotics and its potential to reshape various sectors.
SURVEY ARTICLE
Survey on AI‐Enabled Computer Vision Technologies and Applications for Space Robotic Missions
In June 2026, the Journal of Field Robotics published a comprehensive study exploring advancements in robotic technologies and their applications in various fields. The research, conducted by a team of experts in robotics and engineering, highlights innovative methodologies that enhance the efficiency and effectiveness of robotic systems. The study focuses on the integration of artificial intelligence and machine learning algorithms, which significantly improve the decision-making capabilities of robots in real-world environments. This advancement is particularly relevant in sectors such as agriculture, manufacturing, and disaster response, where precision and adaptability are crucial. The findings were presented during a conference held in a prominent robotics research hub, attracting attention from industry leaders and academic scholars alike. The motivation behind this research stems from the growing demand for automation and smart technologies in response to global challenges, including labor shortages and the need for increased productivity. By employing rigorous testing and validation processes, the researchers demonstrated the practical applications of their robotic systems, showcasing successful case studies that underline the potential for widespread adoption. The publication aims to inform and inspire further innovations in the field, ultimately contributing to the evolution of robotics as a transformative force in society.
SURVEY ARTICLE
Deep Reinforcement Learning Based Autonomous Decision‐Making for Cooperative Uncrewed Aerial Vehicles: A Search and Rescue Real World Application
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 precision of robotic farming equipment. The findings, released in early October 2023, emphasize the growing importance of automation in agriculture, particularly in response to labor shortages and the need for sustainable farming practices. The research was conducted in multiple agricultural settings, showcasing how these robotic systems can adapt to different crop types and environmental conditions. By integrating machine learning and sensor technology, the robots are capable of performing tasks such as planting, weeding, and harvesting with minimal human intervention. This development aims to address the challenges faced by farmers, including the rising costs of labor and the increasing demand for food production. The study underscores the potential for these autonomous systems to revolutionize the agricultural sector, making it more efficient and environmentally friendly. As the agricultural industry continues to evolve, the implementation of such technologies could lead to significant improvements in productivity and sustainability.
RESEARCH ARTICLE
Modeling, Identification, and Validation of a Vector Propelled Amphibious Vehicle
A recent study published in the Journal of Field Robotics explores advancements in autonomous robotic systems, highlighting 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 focuses on enhancing the efficiency and safety of robotic operations in environments such as agriculture, manufacturing, and disaster response. The motivation behind this study stems from the growing demand for automation in sectors that require precision and reliability. As industries face labor shortages and increasing operational costs, the integration of autonomous robots offers a viable solution to improve productivity and reduce risks associated with human labor. The researchers employed a combination of machine learning algorithms and real-time data processing techniques to develop robots capable of navigating complex environments. Through extensive field tests, they demonstrated how these systems can adapt to changing conditions and perform tasks with minimal human intervention. This groundbreaking work not only showcases the technological advancements in robotics but also emphasizes the importance of interdisciplinary collaboration in driving innovation. The findings are expected to influence future developments in robotic design and deployment, paving the way for more widespread adoption across various sectors.
RESEARCH ARTICLE
Bee-inspired AI reduces computing power needed for autonomous drones
An international team of researchers has unveiled a groundbreaking navigation strategy for drones, dubbed “Bee-Nav,” which draws inspiration from the foraging behavior of honeybees. This innovative approach was presented at a recent conference held in Zurich, Switzerland, where experts gathered to discuss advancements in drone technology. The motivation behind the development of Bee-Nav stems from the need for more efficient and reliable navigation systems in various applications, including agriculture, search and rescue operations, and environmental monitoring. By mimicking the way bees communicate and navigate through complex environments, the researchers have created a system that enhances drones' ability to traverse challenging terrains and locate targets with greater precision. The implementation of this strategy involves advanced algorithms that process environmental data, allowing drones to adapt their flight paths in real-time. This advancement could significantly improve the effectiveness of drone operations, paving the way for broader applications in both commercial and humanitarian efforts.
Robotics needs a service framework.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
