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.