首页|Researchers at Guizhou University Zero in on Support Vector Machines (Estimation of sorghum seedling number from drone image based on support vector machine and YOLO algorithms)
Researchers at Guizhou University Zero in on Support Vector Machines (Estimation of sorghum seedling number from drone image based on support vector machine and YOLO algorithms)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on is the subject of a new report. A ccording to news reporting out of Guiyang, People’s Republic of China, by NewsRx editors, research stated, “Accurately counting the number of sorghum seedlings from images captured by unmanned aerial vehicles (UAV) is useful for identifying sorghum varieties with high seedling emergence rates in breeding programs. The traditional method is manual counting, which is time-consuming and laborious.”
Guizhou UniversityGuiyangPeople’s Re public of ChinaAsiaAlgorithmsEmerging TechnologiesMachine LearningSupp ort Vector MachinesVector Machines
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