首页|Findings in Robotics and Machine Learning Reported from Sichuan University (Clas sification of Pesticide Residues In Sorghum Based On Hyperspectral and Gradient Boosting Decision Trees)
Findings in Robotics and Machine Learning Reported from Sichuan University (Clas sification of Pesticide Residues In Sorghum Based On Hyperspectral and Gradient Boosting Decision Trees)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Robotic s and Machine Learning. According to news originating from Zigong, People’s Repu blic of China, by NewsRx correspondents, research stated, “To address the challe nges posed by chemical methods for detecting pesticide residues in sorghum, such as complicated sample preparation and prolonged detection periods, this study p resents a rapid and nondestructive detection approach based on hyperspectral ima ging (HSI) technology. A group of sorghum without pesticide residues and three g roups uniformly sprayed with pesticides were used in this study.” Financial supporters for this research include Liquor Making Biological Technolo gy and Application of Key Laboratory of Sichuan Province, Sichuan Science and Te chnology Program.
ZigongPeople’s Republic of ChinaAsiaRobotics and Machine LearningAgrochemicalsPesticidesSichuan University
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