首页|Investigators from Northeast Normal University Release New Data on Machine Learn ing (Evaluation of Photosynthesis Estimation From Machine Learning-based Solar-i nduced Chlorophyll Fluorescence Downscaling From Canopy To Leaf Level)
Investigators from Northeast Normal University Release New Data on Machine Learn ing (Evaluation of Photosynthesis Estimation From Machine Learning-based Solar-i nduced Chlorophyll Fluorescence Downscaling From Canopy To Leaf Level)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Current study results on Machine Learn ing have been published. According tonews reporting from Changchun, People’s Re public of China, by NewsRx journalists, research stated,“Solar-induced chloroph yll fluorescence (SIF) is strongly correlated with gross primary productivity (GPP). Satellite-observed canopy SIF (SIFobs) captures only a part of the total le af-emitted SIF (SIFtotal);therefore, SIFobs may hinder the interpretation of th e physiological mechanism for GPP estimation.”
ChangchunPeople’s Republic of ChinaA siaBiological FactorsChlorophyllChlorophyllidesCyborgsEmerging Technol ogiesMachine LearningMetalloporphyrinsPorphyrinsNortheast Normal Univers ity
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