首页|New Machine Learning Findings from Northwest A&F University Reporte d [Potential of Solar-induced Chlorophyll Fluorescence (Sif) To Access Long-term Dynamics of Soil Salinity Using Oco-2 Satellite Data and Mac hine Learning Method]
New Machine Learning Findings from Northwest A&F University Reporte d [Potential of Solar-induced Chlorophyll Fluorescence (Sif) To Access Long-term Dynamics of Soil Salinity Using Oco-2 Satellite Data and Mac hine Learning Method]
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning. According to news reporting originating in Shanxi, People’s Repu blic of China, by NewsRx journalists, research stated, “The accumulation of soil salt becomes a worldwide widespread phenomenon, being a major threat to global production. As an environmental stress, soil salinity can reduce the vegetation photosynthetic activity.” Funders for this research include National Natural Science Foundation of China ( NSFC), National Key Research and Development Program of China.
ShanxiPeople’s Republic of ChinaAsiaBiological FactorsChlorophyllChlorophyllidesCyborgsEmerging Technologi esMachine LearningMetalloporphyrinsPorphyrinsNorthwest A&F University
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