首页|Research Reports from Xinjiang Agricultural University Provide New Insights into Machine Learning (Identification and Monitoring of Irrigated Areas in Arid Area s Based on Sentinel-2 Time-Series Data and a Machine Learning Algorithm)
Research Reports from Xinjiang Agricultural University Provide New Insights into Machine Learning (Identification and Monitoring of Irrigated Areas in Arid Area s Based on Sentinel-2 Time-Series Data and a Machine Learning Algorithm)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators publish new report on artificial in telligence. According to news reporting from Urumqi, People’s Republic of China, by NewsRx journalists, research stated, “Accurate monitoring of irrigation area s is of great significance to ensure national food security and rational utiliza tion of water resources. The low resolution of the Moderate Resolution Imaging S pectroradiometer and Landsat data makes the monitoring accuracy insufficient for actual demand.” Financial supporters for this research include Xinjiang Uygur Autonomous Region Major Project; National Natural Science Foundation of China; Xinjiang Key Labora tory of Water Conservancy Engineering Safety And Water Disaster Prevention Open Project; Top-level Project of The Belt And Road Water And Sustainable Developmen t Science And Technology Fund of The National Key Laboratory of Water Disaster D efense; Xin-jiang Uygur Autonomous Region People’s Government.
Xinjiang Agricultural UniversityUrumqiPeople’s Republic of ChinaAsiaAlgorithmsCyborgsEmerging TechnologiesMachine Learning
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