首页|Findings from Chinese Academy of Sciences Broaden Understanding of Machine Learning (Spatial Prediction of Soil Sand Content At Various Sampling Density Based On Geostatistical and Machine Learning Algorithms In Plain Areas)
Findings from Chinese Academy of Sciences Broaden Understanding of Machine Learning (Spatial Prediction of Soil Sand Content At Various Sampling Density Based On Geostatistical and Machine Learning Algorithms In Plain Areas)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Investigators discuss new findings in Machine Learning. According to news reporting originatingfrom Nanjing, People’s Republic of China, by NewsRx correspondents, research stated, “Accurate predictionof the spatial distribution of soil sand content is a pre-requisite for land use management, soil qualityevaluation and erosion control, as it determines the transport and movement of soil water, fertilizer, airand heat. Digital soil mapping (DSM) is extensively employed for predicting soil properties.”
NanjingPeople’s Republic of ChinaAsiaAlgorithmsCyborgsEmerging TechnologiesMachine LearningChinese Academy of Sciences
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