Shihezi University Researchers Update Understanding of Machine　Learning (Improvi ng the accuracy of cotton seedling emergence　rate estimation by fusing UAV-based multispectral vegetation indices)

Robotics & Machine Learning Daily News2024，Issue(Apr.10) ：17-18.

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Shihezi University Researchers Update Understanding of Machine　Learning (Improvi ng the accuracy of cotton seedling emergence　rate estimation by fusing UAV-based multispectral vegetation indices)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on artificial intell igence are discussed in a new report. According tonews reporting from Shihezi, People’s Republic of China, by NewsRx journalists, research stated, “Timelyand accurate estimation of cotton seedling emergence rate is of great significance t o cotton production.This study explored the feasibility of drone-based remote s ensing in monitoring cotton seedling emergence.”

Key words

Shihezi University/Shihezi/People’s Re public of China/Asia/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024

Robotics & Machine Learning Daily News

ISSN：

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Shihezi University Researchers Update Understanding of Machine Learning (Improvi ng the accuracy of cotton seedling emergence rate estimation by fusing UAV-based multispectral vegetation indices)

Shihezi University Researchers Update Understanding of Machine Learning (Improvi ng the accuracy of cotton seedling emergence rate estimation by fusing UAV-based multispectral vegetation indices)

Abstract

Key words

引用本文复制引用

出版年

Robotics & Machine Learning Daily News

Shihezi University Researchers Update Understanding of Machine　Learning (Improvi ng the accuracy of cotton seedling emergence　rate estimation by fusing UAV-based multispectral vegetation indices)

Shihezi University Researchers Update Understanding of Machine　Learning (Improvi ng the accuracy of cotton seedling emergence　rate estimation by fusing UAV-based multispectral vegetation indices)