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The WORLD BANK(WB) has issued a Tender notice for the procurement of a Developing Digital Platform for Brazil - Agrobrazil + Sustentável Platform - Ab+S in the Brazil. This Tender notice was published on 11 Sep 2024 and is scheduled to close on 23 Sep 2024, with an estimated Tender value of Refer Document. Interested bidders can access detailed Tender information, eligibility criteria, and complete bidding documents by referencing TOT Ref No. 107028998, while the tender notice number is 0002010084 and Registering on the platform.
Procurement Summary
Country: Brazil
Summary: Developing Digital Platform for Brazil - Agrobrazil + Sustentável Platform - Ab+S
Deadline: 23 Sep 2024
Posting Date: 11 Sep 2024
Other Information
Notice Type: Tender
TOT Ref.No.: 107028998
Document Ref. No.: 0002010084
Financier: World Bank (WB)
Purchaser Ownership: Public
Tender Value: Refer Document
Purchaser's Detail
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Login to see detailsTender Details
The World Bank Group-sAgriculture and Food Global Practice (GP), is providing technical assistance tothe Government of Brazil and its Ministry of Agriculture and Livestock (Ministerio da Agricultura e da Pecuaria - MAPA) on the design of adigital platform (AgroBrazil + Sustentável Platform - AB+S). This platform isintended to enhance the transparency, credibility, and trust within theBrazilian agriculture sector by improving the monitoring of sustainability andsocial inclusion criteria required by Brazilian public policies and programs, integrating data from several different databases, including PRODES. The proposed consultancy aims at providing technical assistanceto support the creation of comprehensive land cover change maps, especially focusing on three modules (TerraClass, Traceability, and Eligibility models), utilizing advanced semi-automatic classification methods for all Brazilianbiomes up until 2020. These maps willserve as a critical reference for the enforcement of the European Union-sstringent zero deforestation policies, which aim to halt the trade ofcommodities sourced from areas deforested post-2020.The selected firm will closely collaborate with The Brazilian National Institutefor Space Research (INPE), globally renowned for its long-standing expertisein deforestation mapping. In particular, the firm will support INPE's efforts in developing a definitive baselinedeforestation map that not only draws from PRODES but also integratesdiscernible deforestation patterns up to December 2020, including those beyondthe scope of the PRODES timeline.. The adopted method shall be based on unsupervised pixel clusteringalgorithms: Hierarchical Clustering Algorithms (HCA) and the Self-Organizing Maps (SOM). Preliminaryfindings have demonstrated that the unsupervised classification approach successfullyidentifies deforestation in previously undisturbed areas across all biomes, achieving an accuracy comparable to that of PRODES. The widespreaddeployment of these meth...
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