A Novel Agricultural Data Sharing Platform Driven by Dual-Blockchains-Powered DAOs
Abstract
In smart-agriculture, AI is held back by fragmented, hard-to-access datasets. To address this problem, we propose a Decentralized Autonomous Organization (DAO) that couples a consortium Product-Chain (P-Chain) for data custody with a Value-Chain (V-Chain) for decentralized trading. P-Chain registers raw, processed data and model artefacts; V-Chain runs transparent auctions where researchers, farmers, label-service providers and start-ups exchange data, labels or trained models as reusable digital products. Smart-contract pricing and random-validator consensus guarantee authenticity, privacy and fair value flow while preventing collusion. A weed-eradication case study shows that buying ready-made data, labels and models on the platform cuts development cost by 76% compared with in-house collection and training. The architecture thus lowers entry barriers, accelerates AI model iteration, and paves the way for sustainable, data-driven precision agriculture.
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