首页|New Findings from Chinese Academy of Agricultural Sciences in the Area of Machin e Learning Described (Remote Estimation of Rapeseed Phenotypic Traits Under Diff erent Crop Conditions Based On Unmanned Aerial Vehicle Multispectral Images)
New Findings from Chinese Academy of Agricultural Sciences in the Area of Machin e Learning Described (Remote Estimation of Rapeseed Phenotypic Traits Under Diff erent Crop Conditions Based On Unmanned Aerial Vehicle Multispectral Images)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According tonews reporting originating from Wuhan, Peo ple’s Republic of China, by NewsRx correspondents, researchstated, “Rapeseed is an essential oil crop and the third major source of edible oil in the world. Ac curateestimation of rapeseed phenotypic traits at field scale is important for precision agriculture to improveagronomic management and ensure edible oil supp ly.”
WuhanPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningChinese Academy of Agricultur al Sciences
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