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)

Robotics & Machine Learning Daily News2024，Issue(Jan.2) ：43-43.

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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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Abstract

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.”

Key words

Nanjing/People’s Republic of China/Asia/Algorithms/Cyborgs/Emerging Technologies/Machine Learning/Chinese Academy of Sciences

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出版年

2024

Robotics & Machine Learning Daily News

ISSN：

段落导航