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Estimated value
Not disclosed
Earliest action required
Checking…
Bid closes
22 Sept 2026
Submission method
Not stated at source
World Bank Procurement · published 03 Sept 2026 · last checked 03 Sept 2026 · no amendments recorded
Assignment details for consultants
Only conditions published by the buyer are shown. Anything the source does not state is marked “Not stated” rather than assumed.
Individual consultant or consulting firm
Expression of interest
Notice classification
Required expertise
Railways & Rolling Stock
Notice category
Minimum qualifications
Not stated
Tender pack
Required years of experience
Not stated
Tender pack
Country or duty station
China
Notice
Assignment duration
Not stated
Tender pack
Expected start date
Not stated
Tender pack
Submission method
Not stated
Tender pack
Required proposal documents
Not stated
Tender pack
Expression of interest requirements
Not stated
Notice
Mandatory registration
Not stated
Tender pack
Clarification deadline
Not stated
Tender pack
Submission deadline
22 Sept 2026
Notice
Classified as a consulting opportunity from the published procurement type, notice type, summary.
Scope of works
Project P162178 — China Food Safety Improvement Project · Method: Consultant Qualification Selection · Consulting services · 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-Empowered Green Pest Control Technology for Cowpea Contract No.: GDCS-019 Bidding No. 0733-26083763 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 utilizes integrated space-air-ground intelligent technology, combined with remote sensing meteorological inversion, to accurately forecast key meteorological factors for the next 7 to 15 days, providing data support for large-scale cowpea planting management. By leveraging deep visual technology and crop growth prediction models, the study forecasts cowpea growth trends and establishes a pest and disease risk early-warning system. This enables precise fertilizer and pesticide application, promoting green and precision pest control. Furthermore, demonstration sites will be set up to host technical observation and training sessions, ultimately driving the safe, green, and sustainable development of cowpea production. 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-Empowered Green Pest Control Technology for Cowpea. The Consultant shall research and develop an integrated agricultural cultivation and management service model for cowpea production, covering pre-risk early warning, in-process risk control, and post-risk resolution, thereby standardizing the full-chain safe production management process "from farm to table." Based on the actual requirements for the sustainable development of cowpea production, cultivation managem
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