首页|New Findings from Henan University Describe Advances in Machine Learning (Invers ion of Farmland Soil Moisture Based on Multi-Band Synthetic Aperture Radar Data and Optical Data)
New Findings from Henan University Describe Advances in Machine Learning (Invers ion of Farmland Soil Moisture Based on Multi-Band Synthetic Aperture Radar Data and Optical Data)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on artificial intelligence are presented in a new report. According tonews originating from Kaifeng, Peopl e’s Republic of China, by NewsRx correspondents, research stated,“Surface soil moisture (SSM) plays an important role in agricultural and environmental systems . With the continuous improvement in the availability of remote sensing data, sa tellite technology has experiencedwidespread development in the monitoring of l arge-scale SSM.”
Henan UniversityKaifengPeople’s Repu blic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningRemote Se nsing
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