首页|Studies from Beijing Academy of Agricultural and Forestry Sciences Reveal New Fi ndings on Machine Learning (Estimation of Potato Yield Using a Semi-mechanistic Model Developed By Proximal Remote Sensing and Environmental Variables)
Studies from Beijing Academy of Agricultural and Forestry Sciences Reveal New Fi ndings on Machine Learning (Estimation of Potato Yield Using a Semi-mechanistic Model Developed By Proximal Remote Sensing and Environmental Variables)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Data detailed on Machine Learning have been presented. According to news reportingout of Beijing, People’s Republic o f China, by NewsRx editors, research stated, “Timely monitoring ofpotato yield status is crucial for guiding field management and ensuring the sustainability o f food trade.In recent years, non -destructive remote sensing techniques have e merged as one of the most promisingmethods for crop yield monitoring.”
BeijingPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningRemote SensingBeijing Aca demy of Agricultural and Forestry Sciences
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