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)

Robotics & Machine Learning Daily News2024，Issue(Oct.10) ：113-114.

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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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Abstract

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.”

Key words

Guizhou University/Guiyang/People’s Re public of China/Asia/Algorithms/Emerging Technologies/Machine Learning/Supp ort Vector Machines/Vector Machines

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出版年

2024

Robotics & Machine Learning Daily News

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