Reports on Machine Learning from Shanxi Agricultural University Provide New Insi ghts (Combined Use of Spectral Resampling and Machine Learning Algorithms To Est imate Soybean Leaf Chlorophyll)

Robotics & Machine Learning Daily News2024，Issue(Apr.12) ：39-40.

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Reports on Machine Learning from Shanxi Agricultural University Provide New Insi ghts (Combined Use of Spectral Resampling and Machine Learning Algorithms To Est imate Soybean Leaf Chlorophyll)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators publish new report on Machine Learn ing. According to news reporting originatingfrom Taigu, People’s Republic of Ch ina, by NewsRx correspondents, research stated, “For rapid estimationof soybean chlorophyll by hyperspectral technology, 76 soybean varieties were investigated by simulation ofLandsat-8 satellite bands through spectral resampling technolo gy and vegetation indices. Four differentmodeling methods viz.”

Key words

Taigu/People’s Republic of China/Asia/Algorithms/Biological Factors/Chlorophyll/Chlorophyllides/Cyborgs/Emerging Technologies/Machine Learning/Metalloporphyrins/Porphyrins/Technology/Shan xi Agricultural University

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出版年

2024

Robotics & Machine Learning Daily News

ISSN：

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