IEEE Access · 2024 · 18 citations · 44 references
ComputingCybersecurityPrecision AgricultureCryptographyInternet Of ThingsStorage SystemsAgricultural Internet Of ThingsHomomorphic EncryptionIot Data ManagementIot InteroperabilityIot PrivacyIot SecurityBlockchain SecurityBlockchain-based Data SecurityBlockchain-based SecurityIntegration LayerIot Data IntegrationIot Data IntegrityIot Data StorageLarge-scale Farming
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.
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Understanding the potential applications of Artificial Intelligence in Agriculture Sector
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Agriculture, Agronomy, Crop Sciences +14
Role of IoT Technology in Agriculture: A Systematic Literature Review
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Security and Privacy for Green IoT-Based Agriculture: Review, Blockchain Solutions, and Challenges
Mohamed Amine Ferrag, Lei Shu, Xing Yang et al. · IEEE Access · 2020 · 429 citations · Full text