A Resilient and Scalable IoT‑Driven Precision Agriculture Framework with Edge Intelligence, Climate Adaptability, and Farmer‑Centric Optimization

Kunal Dhaku Jadhav, V. Krithika, P. Balakrishnan, G. Sangeetha, M. Inbarasu, Saurabh Kumar

2025

Abstract

An emerging trend that is reshaping the development of precision agriculture is the integration of IoT sensor networks, edge intelligence, and climate-aware computing technologies. In this paper, we propose a sustainable and scalable IoT-enabled precision agriculture framework that tackles major downsides of the previous works such as high infrastructure and deployment cost, connectivity, energy inefficiency and limited farmer centric usability. The proposed model employs inexpensive, energy-aware sensors and edge computing for real-time processing and offline operations. It enables modular adaptability across crop types, climate-informed decision support, automated actuation for irrigation and pest management, and blockchain-based data ownership. A farmer-centered data dash board and multi-lingual interface overcome the technology barrier, enabling users to make informed decisions. This study proves not only the improved resource use efficiency and yield prediction accuracy, but also the sustainability through multi-years of field trials and economic analysis. The system architecture guarantees flexibility, security and interaction and can be regarded as a new reference mark for future smart farming.

Paper Citation

in Harvard Style

Jadhav K., Krithika V., Balakrishnan P., Sangeetha G., Inbarasu M. and Kumar S. (2025). A Resilient and Scalable IoT‑Driven Precision Agriculture Framework with Edge Intelligence, Climate Adaptability, and Farmer‑Centric Optimization. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - Volume 1: ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 49-55. DOI: 10.5220/0013857300004919

in Bibtex Style

@conference{icrdicct`2525,
author={Kunal Jadhav and V. Krithika and P. Balakrishnan and G. Sangeetha and M. Inbarasu and Saurabh Kumar},
title={A Resilient and Scalable IoT‑Driven Precision Agriculture Framework with Edge Intelligence, Climate Adaptability, and Farmer‑Centric Optimization},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - Volume 1: ICRDICCT`25},
year={2025},
pages={49-55},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013857300004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - Volume 1: ICRDICCT`25
TI - A Resilient and Scalable IoT‑Driven Precision Agriculture Framework with Edge Intelligence, Climate Adaptability, and Farmer‑Centric Optimization
SN - 978-989-758-777-1
AU - Jadhav K.
AU - Krithika V.
AU - Balakrishnan P.
AU - Sangeetha G.
AU - Inbarasu M.
AU - Kumar S.
PY - 2025
SP - 49
EP - 55
DO - 10.5220/0013857300004919
PB - SciTePress