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University of Tokyo and Kubota Develop Drone Potato Yield Prediction Method

University of Tokyo and Kubota Develop Drone Potato Yield Prediction Method

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.

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