Robotics & Machine Learning Daily News2024,Issue(Feb.14) :49-49.DOI:10.3390/su16020632

Researchers at Zhejiang Sci-Tech University Publish New Study Findings on Machine Learning (Application of UAV-Borne Visible- Infared Pushbroom Imaging Hyperspectral for Rice Yield Estimation Using Feature Selection Regression Methods)

Robotics & Machine Learning Daily News2024,Issue(Feb.14) :49-49.DOI:10.3390/su16020632

Researchers at Zhejiang Sci-Tech University Publish New Study Findings on Machine Learning (Application of UAV-Borne Visible- Infared Pushbroom Imaging Hyperspectral for Rice Yield Estimation Using Feature Selection Regression Methods)

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Abstract

Investigators publish new report on artificial intelligence. According to news originating from Hangzhou, People’s Republic of China, by NewsRx editors, the research stated, “Rice yield estimation is vital for enhancing food security, optimizing agricultural management, and promoting sustainable development. However, traditional satellite/aerial and ground-based/tower-based platforms face limitations in rice yield estimation, and few studies have explored the potential of UAV-borne hyperspectral remote sensing for this purpose.”

Key words

Zhejiang Sci-Tech University/Hangzhou/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Remote Sensing

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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