首页|Reports on Machine Learning from Shanxi Agricultural University Provide New Insi ghts (Combined Use of Spectral Resampling and Machine Learning Algorithms To Est imate Soybean Leaf Chlorophyll)
Reports on Machine Learning from Shanxi Agricultural University Provide New Insi ghts (Combined Use of Spectral Resampling and Machine Learning Algorithms To Est imate Soybean Leaf Chlorophyll)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators publish new report on Machine Learn ing. According to news reporting originatingfrom Taigu, People’s Republic of Ch ina, by NewsRx correspondents, research stated, “For rapid estimationof soybean chlorophyll by hyperspectral technology, 76 soybean varieties were investigated by simulation ofLandsat-8 satellite bands through spectral resampling technolo gy and vegetation indices. Four differentmodeling methods viz.”
TaiguPeople’s Republic of ChinaAsiaAlgorithmsBiological FactorsChlorophyllChlorophyllidesCyborgsEmerging TechnologiesMachine LearningMetalloporphyrinsPorphyrinsTechnologyShan xi Agricultural University
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