Predictive and Secure Hydroponic Intelligence: A Two-Layer Framework Integrating Edge AI and Blockchain for Smart Agriculture

Authors

  • Mr. K. Vaira Muthu,Dr. A.Krishnakumar

Keywords:

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Abstract

The evolution of smart hydroponics has transformed traditional agriculture by enhancingefficiency, control, and sustainability. Building upon our previous efforts in sensor-basedautomation and network-level security, this work proposes a unified two-layer architecturefor predictive and secure hydroponic farming.

References

Anitha, M. L., Gowda, G. S., Tejaswini, L., Prokshith, P., & Gupta, A. P. (2023, January). Smart identification of nutrient-based pH for an NFT hydroponic system. In 2023 Advanced Computing and Communication Technologies for High Performance Applications (ACCTHPA) (pp. 1–5). IEEE. https://doi.org/10.1109/ACCTHPA56634.2023.10067043

Bakriansyah, A. H., Daud, M., Taufiq, T., & Asran, A. (2023). Prototype of automatic monitoring and control system for water supply, acidity, and nutrition in Internet of Things based DFT hydroponics. MOTIVECTION: Journal of Mechanical, Electrical and Industrial Engineering, 5(2), 339–350.

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Published

2024-08-20

How to Cite

Mr. K. Vaira Muthu,Dr. A.Krishnakumar. (2024). Predictive and Secure Hydroponic Intelligence: A Two-Layer Framework Integrating Edge AI and Blockchain for Smart Agriculture . Journal of Computational Analysis and Applications (JoCAAA), 33(08), 5521–5538. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/3249

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Section

Articles