Findings on Machine Learning Reported by Investigators at Sichuan Agricultural U niversity (Machine Learning Models Based On Uav Oblique Images Improved Above-gr ound Biomass Estimation Accuracy Across Diverse Grasslands On the Qinghai-tibeta n ...)

Robotics & Machine Learning Daily News2024，Issue(Dec.13) ：102-103.

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Findings on Machine Learning Reported by Investigators at Sichuan Agricultural U niversity (Machine Learning Models Based On Uav Oblique Images Improved Above-gr ound Biomass Estimation Accuracy Across Diverse Grasslands On the Qinghai-tibeta n ...)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsoriginating from Chengdu, People’s Repu blic of China, by NewsRx correspondents, research stated, “Unmannedaerial vehic les (UAVs) are becoming important tools for modern management and scientific research of grassland resources, especially in the dynamic monitoring of above-grou nd biomass (AGB). However,current studies rely mostly on vertical images to con struct models, with little consideration given tooblique images.”

Key words

Chengdu/People’s Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning/Sichuan Agricultural Univer sity

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出版年

2024

Robotics & Machine Learning Daily News

ISSN：

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