Using Convolutional Neural Networks for Agricultural Produce Price Prediction: Deep Learning for the Benefit of Indebted Farmers

Abstract

Every participant writes and stores their own record of accounts and transactions on the blockchain. In an industry where gathering such data may be prohibitively expensive, it offers a trustworthy source of accurate information on the status of farms, inventory, and contracts. By recording each step of the food production process, blockchain technology facilitates the development of reliable food supply chains and strengthens relationships between farmers and shoppers. It allows data-driven technology to make farming smarter by providing a reliable means of storing data. It also enables smart contracts to initiate payments between stakeholders in response to changes in the blockchain, which means that payments may be sent quickly. From a theoretical and practical standpoint, this article explores the use of blockchain technology in food supply chains, smart farming, agricultural insurance, and transactions involving agricultural goods. We also go over the difficulties of building the infrastructure necessary to use blockchain technology in the agricultural and food industries, as well as the difficulties of tracking transactions done by smallholder farmers.