This course is part of Module II: Technology and Practice on Grain Postharvest Loss Reduction within the webinar series on postharvest loss reduction organized by the WFP Centre of Excellence for Rural Transformation (WFP China COE). The series was held from August 27th to September 26th, 2024, with support from the Academy of China’s National Food and Strategic Reserves Administration (NAFRA).

 

The overall objective of this webinar series is to share China’s extensive experience, technologies, and practices in reducing postharvest loss. Across two modules—Module I: Experience on Grain Postharvest Management and Module II: Technology and Practice on Grain Postharvest Loss Reduction—a total of 16 Chinese presenters introduced China’s approaches to postharvest management and demonstrated key technologies applied by aggregators at various stages of the postharvest process.

 

Within this framework, the present course provides an overview of the Intelligent Grain Sampling and Quality Inspection Integration System, highlighting the transition from traditional methods to modern intelligent systems. It outlines the standards followed in traditional grain sampling and inspection, the limitations of manual approaches, and the development of intelligent sampling technologies. The course also discusses the advantages of intelligent sampling, including improved representativeness, efficiency, and safety. In addition, it examines the unmanned automatic inspection system, its modular design, performance verification, and the intellectual property rights associated with the technology.


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

Lecturer

Zhao Donghai

Professorial Senior Engineer

Mr. Zhao has actively hosted and participated in many projects related to grain storage, logistics, and processing. He has overseen the design and optimization of warehousing systems, grain storage facilities, and processing equipment. He has amassed extensive first-hand experience and systematic knowledge in the domains of wheat and paddy storage and deep processing. Currently, he is responsible for the development of "Unmanned Grain Automatic Inspection & Testing System" and the "Mobile grain processing equipment" which designed for emergency situations.

Supporting Institution

Intelligent Grain Sampling and Quality Inspection Integration System

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