
Integrated Pest Management
Description
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Key Features
Provides insights into implementing pest control strategies in agricultural practices, ensuring crop protection and yield optimization.
Discusses cultural, biological, and chemical control methods for pest management.
Highlights the advantages of integrated pest management over conventional pest management.
Explores the application of advanced molecular methods, such as RNA interference and gene editing, in pest management.
Examines the integration of remote sensing and other cutting-edge technologies for pest monitoring and prediction.
More details
Other editions
Additional editions

Persons
Zhuo Zhihang currently serves as an Associate Professor at the College of Life Science, China West Normal University, located in Sichuan, China. He obtained his PhD from Sichuan Agricultural University, China, in 2017. Since then, he has held various positions including Lecturer, Associate Professor, Head of Forest Protection Department, and Deputy Town Mayor in different regions of China, such as the Municipal Forestry Bureau, Hainan University, Township People's Government, and China West Normal University. He has been recognized as a high-level talent in Sichuan Province and Hainan Province, as well as appointed as a director of the Sichuan Society of Entomology and an expert in related think tanks. Dr. Zhihang also serves as a master's supervisor at China West Normal University, Hainan University, and Sichuan Agricultural University. He has taught a variety of courses at both undergraduate and postgraduate levels, demonstrating excellence in teaching and research. His primary research interests lie in Entomology, Ecology, and Molecular Biology, with a focus on Pest and Disease Control, Biological Invasion, Insect Chemical Ecology, Resource Insect Development, and Model Development and Utilization. Additionally, he is actively engaged in projects related to the Development of attractants, resistance breeding, development of biocontrol bacteria, multiomics joint analysis, and smart agricultural and forestry development.
Content
System requirements
File format: PDF
Copy-Protection: Adobe-DRM (Digital Rights Management)
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