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 production process, and ultimately establishing a standardized aquaculture system. The implementation period of this Contract is 12 months, with an estimated total input of 36 person-months. The anticipated start date for the assignment is September 2026. Please refer to the Attachment for the detailed Terms of Reference. Guangdong Provincial Center of Agro-product Safety and Quality (Guangdong Green Food Development Center) hereby invites qualified and interested Consultants to submit proposals for consulting services. Please refer to the Terms of Reference for the main scope of work.

Selection Criteria for the Consultants' Shortlist: 1.Capability to independently bear civil liability (Must provide a copy of the Business License or the Certificate of Legal Person for Public Institutions); 2.Sound financial accounting system (Must provide audited financial reports for the past 3 years); 3.Possess the equipment and professional technical capabilities necessary for the performance of the contract (A commitment letter providing the supporting inspection drones and essential testing equipment [as specified in ] must be submitted); 4.Good record of tax and social security payment in accordance with the law (Must provide proof of tax payment and social security contribution for the past 3 months); 5.Good business credit and sound business performance (Must provide a statement certifying no major illegal or irregular business activities in the past 3 years, and that the applicant is not listed on the "Credit China" website as a "person subject to enforcement for dishonesty," "major tax violation entity," or "entity with serious illegal acts in government procurement"). 6.Track Record: Within the past five years (from January 1, 2021, up to the deadline for submitting the Letter of Intent for this project, subject to the contract signing date), the Consultant shall have signed no less than one similar performance contract. A similar performance contract refers to a technical consulting service contract involving the application of drones, remote sensing imagery, or AI intelligent recognition in agricultural research, or a service contract for research on intelligent and standardized aquatic product production technology. (Applicants must submit copies of the corresponding supporting documents [as specified in ], including key pages of the contract that clearly indicate the contract title, service content, signing date, and the signatures and seals of both contracting parties). Please note that the Consultant must provide all the supporting materials stipulated in the above "Selection Criteria for the Consultants' Shortlist," along with detailed contact information (including contact person, address, telephone number, email address, etc.). The Consultant shall solely bear the relevant responsibilities and consequences for any issues arising from incomplete submission or failure to meet the requirements.

Interested Consultants are advised to refer to the provisions regarding Conflict of Interest policy in Sections 3.14, 3.16, and 3.17, and the provisions regarding Eligibility in Sections 3.21, 3.22, 3.23, and 3.24 of the "World Bank Procurement Regulations for IPF Borrowers" (November 2020). Consulting firms may form an association with other firms, but it must be clearly indicated whether the arrangement is in the form of a Joint Venture or Subcontracting. If the Joint Venture form is chosen, each member of the Joint Venture shall be jointly and severally liable for the entire Contract. Please note that every member of the Joint Venture must meet the requirements of the above "Selection Criteria for the Consultants' Shortlist". The Consultant will be selected through the Consultant Qualification Selection (CQS) method as specified in the Procurement Regulations. This Request for Expressions of Interest (REOI) is published on the "World Bank Section of China Tendering and Bidding Public Service Platform" (https://bulletin.cebpubserv