首页|Research Conducted at China West Normal University Has Provided New Information about Machine Learning (An Ovr-fwp-rf Machine Learning Algorithm for Identificat ion of Abandoned Farmland In Hilly Areas Using Multispectral Remote Sensing Data )
Research Conducted at China West Normal University Has Provided New Information about Machine Learning (An Ovr-fwp-rf Machine Learning Algorithm for Identificat ion of Abandoned Farmland In Hilly Areas Using Multispectral Remote Sensing Data )
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews ; Investigators discuss new findings in Machine Lea rning. According to news reporting out ofNanchong, People’s Republic of China, by NewsRx editors, research stated, “Serious farmland abandonmentin hilly areas , and the resolution of commonly used satellite-borne remote sensing images are insufficient tomeet the needs of identifying abandoned farmland in such regions . Furthermore, addressing the problemof identifying abandoned farmland in hilly areas with a certain level of accuracy is a crucial issue in theresearch of ex tracting information on abandoned farmland patches from remote sensing images.”Funders for this research include National Social Science Fund of China, Startup Project of DoctoralResearch by China West Normal University.
NanchongPeople’s Republic of ChinaAs iaAlgorithmsCyborgsEmerging TechnologiesMachine LearningRemote SensingChina West Normal University
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