A groundbreaking advancement in agricultural technology has emerged with the development of a new tomato-picking robot that employs predictive capabilities to enhance its harvesting efficiency. Unlike traditional robots that merely identify ripe tomatoes, this innovative machine assesses the ease of harvesting each fruit and adapts its approach accordingly. This intelligent strategy has resulted in an impressive success rate of 81%, with the robot even capable of adjusting its angles during the picking process. This significant leap in automation could facilitate a future where robots and human workers collaborate seamlessly on farms, revolutionizing the agricultural landscape.
Agriculture
Robot Manufacturer
Mobile Robot (AGV/AMR)
Human-Machine Interaction
Original from ScienceDaily.com: AI-powered robot learns how to harvest tomatoes more efficiently
AI-powered robot learns how to harvest tomatoes more efficiently
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United States
Autonomous micro-tractor (ANT nano-tractor); targeted weeding/spraying via computer vision; supports small/midsize farms; integrates drone imagery for precision tasks; as-a-service model for labor/input reduction.
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France
Tensorfield Agriculture
United States
Semi-autonomous/towed thermal weeder robot (Jetty V3); AI vision + heated edible oil micro-dosing (1/4" precision at 1.2-1.6 mph), ~1500-2200 lb, propane/lithium hybrid power, targeted post-emergence weed control in vegetable beds (e.g., carrots/leafy greens), herbicide-free.
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United States
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United States
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