Journal
IEEE SENSORS JOURNAL
Volume 21, Issue 16, Pages 17591-17607Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JSEN.2020.3012294
Keywords
Agriculture; Sensors; Monitoring; Internet of Things; Temperature measurement; Smart agriculture; Internet of Things (IoT); blockchain technology; authentication; security
Funding
- Mathematical Research Impact Centric Support (MATRICS) - Science and Engineering Research Board (SERB), India [MTR/2019/000699]
- Ripple Centre of Excellence Scheme, CoE in Blockchain, IIIT Hyderabad, India [IIIT/R&D Office/Internal Projects/001/2019]
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Agriculture is a vital area for human sustenance, and innovation is crucial for its survival as resources diminish. The rapid development of IoT and blockchain technology can improve the state of the food chain. This study proposes a generalized blockchain-based security architecture, conducts detailed cost analysis on schemes, and uncovers drawbacks in existing research through meticulous comparative analysis.
Agriculture is a vital area for the sustenance of mankind engulfing manufacturing, security, traceability, and sustainable resource management. With the resources receding expeditiously, it is of utmost significance to innovate techniques that help in the subsistence of agriculture. The growth of Internet of Things (IoT) and Blockchain technology as two rapidly emerging fields can ameliorate the state of food chain today. This paper provides a rigorous literature review to inspect the state-of-the-art development of the schemes that provide information security using blockchain technology. After identifying the core requirements in smart agriculture, a generalized blockchain-based security architecture has been proposed. A detailed cost analysis has been conducted on the studied schemes. A meticulous comparative analysis uncovered the drawbacks in existing research. Furthermore, detailed analysis of the literature has also revealed the security goals towards which the research has been directed and helped to identify new avenues for future research using artificial intelligence.
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