University of Tokyo and Kubota Develop Drone Potato Yield Prediction Method
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- Dronelife.com
Researchers from the University of Tokyo, in collaboration with Kubota Corporation, have developed an innovative method to predict underground potato yields before harvest using drone imagery and machine learning techniques. This advancement was announced in a recent publication associated with the Japan UAS Industrial Development Association (JUIDA). By employing a growth curve model alongside aerial data collection, the team aims to enhance agricultural efficiency and support farmers in making informed decisions regarding their crops. This method represents a significant step forward in agricultural technology, potentially transforming how potato yields are assessed and managed.
Original report
University of Tokyo and Kubota Develop Drone Potato Yield Prediction Method
Dronelife.com · Ian McNabbThis briefing is an independently written summary based on publicly available reporting and is provided for industry information and news discovery. The original report and source publication are credited and linked where applicable. RobotToday does not claim ownership of third-party source material.
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