Overcoming Data Fragmentation in Agriculture: Integrating Multi-Source Data via Blockchain to Enhance Decision-Making

Abstract

The integration of blockchain for agricultural data relies heavily on three emerging technologies which solve the problems of privacy protection and interoperability and scalability. This document investigates the agrochemical combination of modern technological systems which can improve data processing capabilities and real-time decision processing and predictive agricultural applications. Agribusinesses benefit from edge computing because it processes data where it originates which results in quick operation and better manages Internet of Things data collection. Connected IoT products and blockchain systems exchange data via 5G networks which provide fast and quick data transfer links. The combination of blockchain technology with AI analytics gives predictive farming the ability to decrease crop production expenses while improving agricultural outputs from vast data monitoring. The paper investigates active research areas which include enhanced blockchain consensus protocol development for optimization through the AgriChainSync demonstration project. The article showcases the innovative role of smarter contracts and privacy protocols which help boost transparency while cutting down fraud occasions and providing better market doors for smallholder farmers. Coping with blockchain’s data privacy challenges can be achieved through implementing better privacy protocols alongside anti-tamper security systems. The combination of IoT with blockchain enables substantial opportunities to track agriculture products better while optimizing supply chain operations in agricultural settings. This research helps explain how technology components work together to handle agricultural problems which results in developing safe sustainable and effective industry solutions for the sector.