This chapter demonstrates how the combined deployment of blockchain, Artificial Intelligence, and Internet of Things technologies establishes a verifiable data fabric that unlocks resource-efficient, transparent, and scalable precision agriculture. After clarifying the technical foundations of each technology, we present a reproducible integration method that covers platform selection, sensor configuration, smart-contract design, and analytics pipelines. Field-level case evidence shows that immutable sensor-to-ledger workflows cut water and fertiliser use by up to 22% while reducing post-harvest spoilage by 15%, and supply-chain simulations indicate logistics cost savings of 8–12%. Troubleshooting logs and quality-control metrics confirm that the recommended protocols remain effective across diverse crops and farm sizes. We conclude by mapping how forthcoming advances such as edge robotics, satellite analytics, multi-chain interoperability, and evolving regulatory standards can be incorporated into the same modular architecture, ensuring long-term resilience and sustainability for both smallholders and large agribusinesses.

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Preparing for Technological Advancements in Blockchain

  • Cleverence Kombe,
  • Onneile Juliet Ntseme

摘要

This chapter demonstrates how the combined deployment of blockchain, Artificial Intelligence, and Internet of Things technologies establishes a verifiable data fabric that unlocks resource-efficient, transparent, and scalable precision agriculture. After clarifying the technical foundations of each technology, we present a reproducible integration method that covers platform selection, sensor configuration, smart-contract design, and analytics pipelines. Field-level case evidence shows that immutable sensor-to-ledger workflows cut water and fertiliser use by up to 22% while reducing post-harvest spoilage by 15%, and supply-chain simulations indicate logistics cost savings of 8–12%. Troubleshooting logs and quality-control metrics confirm that the recommended protocols remain effective across diverse crops and farm sizes. We conclude by mapping how forthcoming advances such as edge robotics, satellite analytics, multi-chain interoperability, and evolving regulatory standards can be incorporated into the same modular architecture, ensuring long-term resilience and sustainability for both smallholders and large agribusinesses.