Online Monitoring and Early Warning Technology of Stored Grain Pests

57min

Share construction of the occurrence development mechanism model of stored grain pests, development of online monitoring and early warning equipment based on artificial intelligence and big data technology.

 

* Participants who successfully complete the course and pass a corresponding quiz will receive a certificate of achievement.

Lecturer

Wang Zhongming

Associate Professor

Mr. Wang is engaged in research related to pest control of stored grain. As a part-time director of grain and oil storage branch, a member of the 10th National Pesticide Registration Review Committee, a part-time master tutor of China Agricultural University, Zhejiang A&F University and other universities, he has presided over more than 10 projects including natural science foundation projects, public welfare industry (grain) special projects, published more than 100 SCI and Chinese core papers. He has led and participated in the formulation of a number of national and industry standards.

Supporting Institution

Online Monitoring and Early Warning Technology of Stored Grain Pests

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