首页|Research from Henan Agricultural University Provide New Insights into Machine Le arning (Pretrained Deep Learning Networks and Multispectral Imagery Enhance Maize LCC, FVC, and Maturity Estimation)
Research from Henan Agricultural University Provide New Insights into Machine Le arning (Pretrained Deep Learning Networks and Multispectral Imagery Enhance Maize LCC, FVC, and Maturity Estimation)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Fresh data on artificial intelligence are presented in a new report. According to news originating from Zhengzhou, People's Repub lic of China, by NewsRx correspondents, research stated, “Crop leaf chlorophyll content (LCC) and fractional vegetation cover (FVC) are crucial indicators for a ssessing crop health, growth development, and maturity. In contrast to the tradi tional manual collection of crop trait parameters, unmanned aerial vehicle (UAV) technology rapidly generates LCC and FVC maps for breeding materials, facilitat ing prompt assessments of maturity information.”
Henan Agricultural UniversityZhengzhouPeople's Republic of ChinaAsiaAlgorithmsCyborgsEmerging TechnologiesMachine Learning
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