Robotics & Machine Learning Daily News2024,Issue(Aug.6) :18-19.

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)

Robotics & Machine Learning Daily News2024,Issue(Aug.6) :18-19.

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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Abstract

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.”

Key words

Beijing/People’s Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning/Remote Sensing/Beijing Aca demy of Agricultural and Forestry Sciences

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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