This project plans to engage a third-party institution tocarry out research on the construction andapplicationof an aquaculture standardization system based on integrated aerial, terrestrial, and aquaticsensing.

REOI Country: The People's Republic of China Project Name: IBRD Guangdong Agricultural Product Quality Safety Improvement (Demonstration) Project Loan No.: 9213-CN Assignment Name : Research on AI-Based Digital Standardized Aquaculture Technology Model Contract No.: GDCS-020 Bidding No. 0733-26083765 The Government of the People's Republic of China has received a loan from the International Bank for Reconstruction and Development to improve food safety management at the national and sub-national levels and to reduce food safety risks in selected value chains. The project is being implemented by the State Administration for Market Regulation, the Ministry of Agriculture and Rural Affairs, Guangdong Province, and Shandong Province (Yantai City). As part of this project, this study proposes to conduct research on the AI-Based Digital Standardized Aquaculture Technology Model. Building upon existing development advantages and targeting the modernization of aquaculture, the study will dynamically monitor the growth status of aquatic products and implement timely interventions. This will continuously enhance quality and safety throughout the production process, ultimately establishing a standardized aquaculture system. Under this Contract, World Bank loan funds shall be utilized to procure the services of a consulting advisor (hereinafter referred to as the "Consultant") for the sub-project on Research on AI-Based Digital Standardized Aquaculture Technology Model. The Consultant shall research and develop a standardized aquaculture system based on big data, integrate multi-source data, and comprehensively analyze aquaculture growth processes, feeding records, and early warnings for growth status, thereby achieving the digitalization of the aquaculture process. Meanwhile, based on time-series analysis and observation, the system will monitor aquaculture quality in real-time and implement timely interventions, continuously enhancing product quality and safety throughout the