首页|New Machine Learning Study Findings Have Been Reported by Investigators at Wuhan University (Spatial Mapping and Driving Factor Identification for Salt-affected Soils At Continental Scale Using Machine Learning Methods)
New Machine Learning Study Findings Have Been Reported by Investigators at Wuhan University (Spatial Mapping and Driving Factor Identification for Salt-affected Soils At Continental Scale Using Machine Learning Methods)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Machine Learning is th e subject of a report. According to news originating from Hubei, People's Republ ic of China, by NewsRx correspondents, research stated, "Soil salinization is on e of the most serious land-degrading threats globally, particularly in Asia, whe re there are 21 countries, e.g., Kazakhstan, China, Iran, and Indonesia, lack of accurate spatial information of saltaffected soils currently. Mapping the dist ribution of salt-affected soils and identifying their main driving factors is cr itical for sustainable development." Funders for this research include National Key Research & Developm ent Program of China, The program of the Food and Agriculture Organization of th e United Nations.
HubeiPeople's Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningWuhan University
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