Decentralised and Predictive System for Efficient Agri-Transactions Through Blockchain Technology

【Author】 Sahayaraj, Remegius Praveen; Sannasy, Muthurajkumar

【Source】STUDIES IN INFORMATICS AND CONTROL

【影响因子】1.826

【Abstract】Agriculture is an art, a craftsmanship and a scientific way of cultivation, growth and maintenance of edible crops and livestock. Majority of the current farming communities do not have prior knowledge of predicting the suitable crop for their soil and climatic conditions. Difficulty in raising the initial investment for crop cultivation is also one of the serious concerns of these communities. The difficulties faced by the civic agriculture, the insecure monetary transactions, along with the concerns related to the financial process have been identified and listed. The paper proposes a feasible solution by predicting the appropriate crops that could be grown in a specific scenario or environmental conditions using the machine-learning model of Support Vector Classifier and provides data related to quality yields using Fuzzy Decision Merkle Tree (FDMT) Regressor. Additionally, a transparent and secure fund transfer mechanism is provided using Ethereum blockchain-based technology. The proposed model implements a secured, translucent and tamper-resistant digital platform for the farming communities to host their products. A fortified consensus can be formed between the farmer and the investor bounded with a rating mechanism to build the credibility of both the farmer and the investor(7) based on the prior knowledge obtained in the Agri-market.

【Keywords】Blockchain; Fuzzy; Agriculture; Machine learning; SVM

【发表时间】2022 SEP

【收录时间】2022-10-17

【文献类型】理论模型

【主题类别】

区块链应用-实体经济-农牧领域