Managing the Supply Chain for the Crops Directed from Agricultural Fields using Blockchains

Abstract

Modern supply chain management relies heavily on crop processing technologies and blockchain technology. However, the majority of crop processing technology fails due to a lack of available supply chain management technologies. A supply chain management system based on crop processing is developed in this research. Digital ledger technology (blockchain) takes care of supply chains and deep learning image processing (crop processing). To process the harvested crops, the study makes use of machine learning techniques. Blockchain supply chain management technology is then used to deliver the processed crops to the shops. Consequently, the research permits the accurate and transparent distribution of crops to users in an optimal and secure manner. The full hybrid model is tested in a simulation to see if it can improve agricultural production and supply chain management. This new strategy improves agricultural processing rates, and when combined with the blockchain distributed ledger technology, this results in optimal crop management for the required users.