首页|Findings from Nagoya City University Advance Knowledge in Machine Learning [Plant-level prediction of potato yield using machine learning and unmanned aeria l vehicle (UAV) multispectral imagery]
Findings from Nagoya City University Advance Knowledge in Machine Learning [Plant-level prediction of potato yield using machine learning and unmanned aeria l vehicle (UAV) multispectral imagery]
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on artificial intell igence are discussed in a new report. According tonews reporting from Nagoya Ci ty University by NewsRx journalists, research stated, “This study presentsa new method for predicting the underground yield of potato at the plant level, using two key approaches:(1) identifying the critical variables for yield prediction based on plant height and vegetation index (VI)maps derived from unmanned aeri al vehicle (UAV) imagery; (2) evaluating the accuracy of predictions forfresh t uber weight (FTW), number of tubers (NMT), and fresh weight per tuber (FWT), usi ng variousmachine learning (ML) algorithms. During the growing season of 2022, high-resolution red, green, andblue light and multispectral images were collect ed weekly using a UAV.”
Nagoya City UniversityCyborgsEmergin g TechnologiesMachine Learning
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