Blockchain and artificial intelligence-empowered smart agriculture framework for maximizing human life expectancy

【Author】 Jadav, Nilesh Kumar; Rathod, Tejal; Gupta, Rajesh; Tanwar, Sudeep; Kumar, Neeraj; Alkhayyat, Ahmed

【Source】COMPUTERS & ELECTRICAL ENGINEERING

【影响因子】4.152

【Abstract】The massive population growth and rising environmental issues raise several challenges in the agriculture sector, such as agricultural land scarcity, overuse of pesticides, and global food demand. To meet global food demand, farmer uses large quantities of pesticides to enhance crop quality and quantity. However, consuming food from pesticide crops reduces human life expectancy. To overcome the aforementioned issue and improve human life expectancy, we proposed a blockchain and artificial intelligence (AI)-empowered smart agriculture framework to predict pesticide crop's beyond the threshold. The blockchain is integrated to confront the data manipulation attack, where the crop that uses minimum pesticides is securely stored inside the blockchain's immutable ledger. Finally, the proposed framework is evaluated with performance metrics, such as accuracy, blockchain scalability, and latency. The result shows that the proposed framework outperforms in terms of accuracy, scalability, and latency compared to the baseline approaches.

【Keywords】Smart agriculture; Machine learning; IPFS; Pesticides; Blockchain; Edge computing; Artificial intelligence; Human life expectancy; 6G network; AI

【发表时间】2023 JAN

【收录时间】2023-01-15

【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