首页|Study Results from Ministry of Education Broaden Understanding of Machine Learni ng (Infield Corn Kernel Detection Using Image Processing, Machine Learning, and Deep Learning Methodologies Under Natural Lighting)
Study Results from Ministry of Education Broaden Understanding of Machine Learni ng (Infield Corn Kernel Detection Using Image Processing, Machine Learning, and Deep Learning Methodologies Under Natural Lighting)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting originating in Beijing, Peopl e’s Republic of China, by NewsRx journalists, research stated, “Machine vision h as been increasingly used to address agricultural issues. One such case is corn field harvest losses and image-based object detection approaches, namely image p rocessing, machine learning, and deep learning were investigated to detect and c ount infield corn kernels, immediately after harvest for combine harvester perfo rmance evaluation.”
BeijingPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningMinistry of Education
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