Annual Farm Robotics Challenge

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The challenge is being sponsored by The VINE, an initiative of the University of California Agriculture and Natural Resources focused on agricultural innovation, in partnership with the AI Institute for Next Generation Food Systems (AIFS), Farm-ng robotics company, and the Fresno-Merced Future of Food (F3) Innovation coalition.

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Topic: Walnut Detection Through Deep Learning Enhanced by Multispectral Synthetic Images

The accurate identification of walnuts within orchards brings forth a plethora of advantages, profoundly amplifying the efficiency and productivity of walnut orchard management. In this study, we present a novel approach to improve walnut detection efficiency, utilizing YOLOv5 trained on an enriched image set that incorporates both real and synthetic RGB and NIR images.

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Topic: Fusion-Driven Tree Reconstruction and Fruit Localization: Advancing Precision in Agriculture

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Poster Presentation at International Forum for Agricultural Robotics (FIRA USA)

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Topic: Human-following Robot for Crop Transportation

The problem addressed by our robot is to reduce the human effort involved in transporting heavy trays filled with fruits/vegetables, thus allowing human energy to be focused on the actual harvesting task. Our proposed solution is to develop a harvesting assistant robot that can follow the human operators in real-time and transport the harvested crops to storage locations, eliminating the need for manual transport by a tractor. The robot will also have the capability to monitor worker posture and provide real-time feedback on posture quality.

“Inceptio-Tsinghua AIR Cup” Autonomous Driving Challenge

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“Inceptio & Tsinghua AIR Cup” is the first competition in China that covers both trunk logistics and urban road. The first competition focuses on decision planning algorithms, inviting global autonomous driving enthusiasts to solve real-world technical problems and challenge the limits of algorithms under the constraints of mass production.