article · ICT Express
A proposed framework combines blockchain technology, internet of things sensors, and automated computer code to improve the management of agricultural supply chains. The system aims to provide secure data storage for all stakeholders in the farming sector, reducing human errors and operational risks. Environmental sensors deployed across a farm network collect real-time conditions. These collected records are stored securely within blocks on a blockchain ledger. Within a dedicated treatment layer, specialised agricultural automated codes process the information to make task decisions autonomously. The integrated design is intended to improve product tracking, enhance the analysis of agricultural datasets, address architectural faults identified in earlier research, and ultimately raise overall productivity across agro-based supply chains.
Managing agricultural supply chains requires accurate tracking and reliable information to minimise operational failures. Integrating environmental monitoring sensors with tamper-proof blockchain storage and automated decision-making codes helps safeguard critical farm data. This approach can assist in decreasing human error, improving dataset analysis, and elevating productivity for diverse participants across the farming sector.
The conceptual architecture could enable automated decision-making and product tracking tools for agricultural stakeholders and supply chain operators. Potential users include farm managers, logistics providers, and agribusinesses seeking secure records and environmental monitoring. Because the abstract only presents a suggested schema, application architecture, and method without reporting empirical testing or deployment results, the work appears to be early-stage conceptual research.
AI-generated from the published abstract. Always read the original work before citing.
The proposed idea is to give all the agricultural stakeholders secure storage. We must automate several processes utilizing brilliant codes to reduce risks and errors. The suggested schema applies Blockchain, source codes, and IoT on a farm network to enhance the analysis of agrarian datasets and tracking products to raise the productivity of agro-based supply chains. The application’s architecture will fix the faults found in earlier research. In the suggested method, sensors give us information about the environment. The Blockchain ledger stores our data in blocks. We create special agricultural automated codes in the treatment layer to automate task decisions.
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DOI: 10.1016/j.icte.2024.03.007
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