首页|Research Data from China Agricultural University Update Understanding of Machine Learning (Extracting Crop Structure from Remote Sensing Images of Qingtongxia I rrigation District Using the Threshold Feature-machine Learning Method)
Research Data from China Agricultural University Update Understanding of Machine Learning (Extracting Crop Structure from Remote Sensing Images of Qingtongxia I rrigation District Using the Threshold Feature-machine Learning Method)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on ar tificial intelligence. According to news reporting originating from Beijing, Peo ple’s Republic of China, by NewsRx correspondents, research stated, “Tracking th e change in cultivation areas of different crops in a basin or catchment is esse ntial for agricultural management but challenging. The objective of this paper i s to investigate the feasibility of threshold feature - random forest classifica tion model for extracting crop structure from remote sensing imageries of irriga tion district.”
China Agricultural UniversityBeijingPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine Learni ngRemote Sensing
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