TY - JOUR
T1 - AgriChainSync
T2 - A Scalable and Secure Blockchain-Enabled Framework for IoT-Driven Precision Agriculture
AU - Tahir, Hassam Ahmed
AU - Alayed, Walaa
AU - Ul Hassan, Waqar
AU - Nabi, Fahad
AU - Tran, Truong X.
N1 - Publisher Copyright:
© 2024 The Authors.
PY - 2024
Y1 - 2024
N2 - The rapid advancement of precision farming, automated irrigation systems, and predictive analytics has revolutionized agriculture, but these innovations also introduce new challenges, particularly in data integrity and security. With the increased usage of IoT devices, data integration of vast amounts of data becomes critical. This paper proposes a comprehensive framework, AgriChainSynch, which integrates IoT, blockchain, and artificial intelligence systems to address these challenges. The proposed framework shows a dynamic data storage algorithm that optimizes storage decisions based on data characteristics and features. Furthermore, the Blockchain Integration Layer (BIL) ensures security and scalability with a Feedback and Adaptation Module (FAM) that continuously improves systems performance. The proposed hybrid blockchain structure balances privacy and scalability with homomorphic encryption. Extensive experimentation and validation demonstrate that the proposed framework improves storage efficiency with reduced processing time and enhances network performance, offering improved solutions for modern agricultural systems. The findings underscore the potential of integrating IoT, blockchain, and AI under one umbrella, supporting large-scale farming operations.
AB - The rapid advancement of precision farming, automated irrigation systems, and predictive analytics has revolutionized agriculture, but these innovations also introduce new challenges, particularly in data integrity and security. With the increased usage of IoT devices, data integration of vast amounts of data becomes critical. This paper proposes a comprehensive framework, AgriChainSynch, which integrates IoT, blockchain, and artificial intelligence systems to address these challenges. The proposed framework shows a dynamic data storage algorithm that optimizes storage decisions based on data characteristics and features. Furthermore, the Blockchain Integration Layer (BIL) ensures security and scalability with a Feedback and Adaptation Module (FAM) that continuously improves systems performance. The proposed hybrid blockchain structure balances privacy and scalability with homomorphic encryption. Extensive experimentation and validation demonstrate that the proposed framework improves storage efficiency with reduced processing time and enhances network performance, offering improved solutions for modern agricultural systems. The findings underscore the potential of integrating IoT, blockchain, and AI under one umbrella, supporting large-scale farming operations.
UR - http://www.scopus.com/inward/record.url?scp=85207782688&partnerID=8YFLogxK
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U2 - 10.1109/ACCESS.2024.3482550
DO - 10.1109/ACCESS.2024.3482550
M3 - Article
AN - SCOPUS:85207782688
SN - 2169-3536
VL - 12
SP - 162940
EP - 162955
JO - IEEE Access
JF - IEEE Access
ER -