The Aloe Vera Plant Leaf Disease Detection System in Agriculture 4.0: Integrating AI and Blockchain Technology

Abstract

With the help of modern technologies, the agriculture industry is undergoing a revolution that appears to hold great promise for advancing plant production and profitability. Over the past decade, the continued development of Agriculture 4.0 has expedited the digitization of agriculture. The integration of blockchain technology with artificial intelligence (AI) has great potential to address plant leaf diseases and transform agricultural methods in the era of Agriculture 4.0. Additional uses of AI in agriculture include agricultural decision support systems, mobile agricultural expert systems, and agricultural predictive analytics, which incorporate classification and decision-making skills. Blockchain guarantees transparency, data integrity, and secure information transmission, while artificial intelligence (AI) and blockchain-based aloe vera plant leaf disease detection systems may be able to use learning to provide precise diagnoses and suggestions. The role of blockchain technology and artificial intelligence in aloe vera plant leaf detection systems is examined in this study. AI models catalogue aloe vera leaf diseases and measure severity. However, blockchain systems like Ethereum 358 and Hyperledger Fabric use consensus processes called proof of authority and proof of stake to guarantee safe data logging. This decentralized approach inhibits data tampering, ensuring reliability and transparency in aloe vera disease detection records. By improving traceability, facilitating information exchange, and protecting privacy, the system supports stakeholders in datadriven agriculture management and contributes to farmers’ access to real-time insights.