首页|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)
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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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.”
Zhejiang Sci-Tech UniversityHangzhouPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningRemote Sensing
NETL
NSTL
Mdpi
