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

被引:20
作者
Jadav, Nilesh Kumar [1 ]
Rathod, Tejal [1 ]
Gupta, Rajesh [1 ]
Tanwar, Sudeep [1 ]
Kumar, Neeraj [2 ,3 ,4 ]
Alkhayyat, Ahmed [5 ]
机构
[1] Nirma Univ, Inst Technol, Dept Comp Sci & Engn, Ahmadabad, India
[2] Thapar Inst Engn & Technol, Dept Comp Sci & Engn, Patiala, Punjab, India
[3] King Abdulaziz Univ, Fac Comp & IT, Jeddah, Saudi Arabia
[4] Univ Petr & Energy Studies, Dept Comp Sci & Engn, Dehradhun, Uttarakhand, India
[5] Islamic Univ, Coll Tech Engn, Najaf, Iraq
关键词
Smart agriculture; Machine learning; IPFS; Pesticides; Blockchain; Edge computing; Artificial intelligence; Human life expectancy; 6G network; AI;
D O I
10.1016/j.compeleceng.2022.108486
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页数:13
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