首页|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)
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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.”
Shihezi UniversityShiheziPeople’s Re public of ChinaAsiaCyborgsEmerging TechnologiesMachine Learning
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