Block chain enable for Smallholder’s farmer’s Crop Transaction Using Peer-to-Peer

Abstract

Agriculture plays a major role for smallholder farmers in primary and secondary processing, supply chains, and infrastructure that enhance resource efficiency and marketing by decreasing market intermediaries. This paper explores the possibilities of using Blockchain technology in agriculture. The agricultural sector has a great need for information that supports traceability. Production growth could lead us to a radical change in the agriculture business. Technology can be an important pillar in this transformation. Therefore, we proposed using Blockchain with agriculture using peer-to-peer and a hash, which is a cryptographic mechanism for ensuring crop data security. Every time one is created, a new block is added to the end of the shared ledger. Blockchain technology can be used to improve outcomes in agriculture. We are able to collect crop supply chain data from farmers and store it on a distributed ledger technology network. Classification and regression, two of the most common methods used in data mining and machine learning to make predictions about crop productivity, were employed in this research. The experimental results are conducted on crop classification using decision trees and random forests, and future crop likelihood using linear regression. Finally, the estimated 99.23% cropped data accuracy is compared with others, on yield prediction for farming, and respond time is estimated for each block node in the blockchain