Levarging Blockchain for Transparency in Agriculture Supply Chain Management Using IoT and Machine Learning
M. Harini, D. Dhinakaran, Darshan Prabhu, S. M. Udhaya Sankar, V. Pooja, P. Kokila Sruthi
Abstract
India’s agriculture industry is diversified and has the capacity to feed the second-largest population in the world. Despite of its significance the existing agriculture methodology suffers due to various issues like no proper supply chain management and the transparency in the data. Thus, blockchain Technology has greatly increased in popularity across a variety of industries due to its distinctive qualities of immutability, transparency, and security. The work is concerned with remarkable growth of the agriculture sector with the help of blockchain technology. Blockchain technology can assist in lowering the number of middlemen in the supply chain, which will lower transaction costs and boost farmer profit margins. Blockchain technology can also help reduce fraud, improve food safety and quality management, and guarantee fair prices for farmers. It involves the use of IOT sensors to generate data from the crops like climatic changes, soil moisture etc. The generated data is analyzed by using machine learning algorithms like image processing for crop disease prediction. The organized content is subsequently saved as a block in the blockchain ledger. A smart contract is made between the stakeholders involved which leads to the transparency of the transaction and this promotes a good growth in the supply chain management. It also makes it easy for the farmers to claim their insurance as each data is stored in an immutable and transparent ledger. Thus, the proposed methodology of combining blockchain with agriculture boost the efficiency and potential of the agriculture sector.