Anish Jindal

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About

Anish Jindal is a researcher at the forefront of integrating blockchain and artificial intelligence into critical infrastructure, with a particular focus on smart agriculture and predictive maintenance. His work addresses the pressing need for secure, automated systems that can reduce human effort while increasing operational efficiency in sectors like farming. In his highly cited 2024 paper, "A Blockchain-based Predictive Maintenance Scheme for Smart Agriculture," Jindal proposes a novel framework that leverages IoT sensors and distributed ledger technology to anticipate equipment failures in real time. By combining AI-driven analytics with the immutability of blockchain, his scheme ensures data integrity and enables proactive, trustless maintenance—a significant leap toward fully autonomous agricultural ecosystems. Though early in its publication cycle, this work has already garnered 3 citations, signaling its growing influence among researchers in cyber-physical systems and sustainable tech. Jindal’s contributions are particularly notable for bridging the gap between theoretical blockchain applications and practical, field-deployable solutions. His research not only advances the reliability of smart farming but also sets a blueprint for secure, decentralized maintenance in other industrial domains, marking him as a promising voice in the future of intelligent infrastructure.