Proceedings of the International Conference on Recent Advancements and Modernisations in Sustainable Intelligent Technologies and Applications (RAMSITA 2025)

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Transforming Agriculture With IoT: A Framework for Precision and Efficiency

Authors
Ashish Verma1, *, Rajesh Bodade2
1Ph. D Scholar MCTE MHOW, DAVV University Indore, Indore, Madhya Pradesh, India
2FCE MCTE MHOW, DAVV University Indore, Indore, Madhya Pradesh, India
*Corresponding author. Email: ashishverma98@gmail.com
Corresponding Author
Ashish Verma
Available Online 26 May 2025.
DOI
10.2991/978-94-6463-716-8_51How to use a DOI?
Keywords
Internet of Things; sensors; ESP32; Long Range; Artificial Intelligence; Machine Learning; Deep Learning; crop diseases
Abstract

The integration of Internet of Things (IoT) technologies has opened new avenues for enhancing agricultural productivity by allowing real-time monitoring, fact-based decision-making, and automation. Nevertheless, most of the existing IoT-based systems rely on expensive hardware and advanced technologies, making them clearly impractical for small and medium-scale farmers. Such systems also have problems such as inconsistent power distribution, unstable local communication networks, and limited net infrastructure in rural areas. This work proposes a powerful and scalable IoT framework to tackle these limitations, especially for Indian agriculture. This framework integrates low-power sensors, long-range wireless communication using LoRa, and robust statistics processing through cloud computing. Moreover, this particular gadget embodies ML and AI techniques for predictive analysis. The prediction detection of crop diseases utilizes the ESP32-CAM module. It is developed with an objective of practical implementation, where it will revolutionize agriculture by improving resource utilization and serving stakeholders such as farmers, agricultural scientists, and companies towards optimizing agricultural production.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Recent Advancements and Modernisations in Sustainable Intelligent Technologies and Applications (RAMSITA 2025)
Series
Advances in Intelligent Systems Research
Publication Date
26 May 2025
ISBN
978-94-6463-716-8
ISSN
1951-6851
DOI
10.2991/978-94-6463-716-8_51How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Ashish Verma
AU  - Rajesh Bodade
PY  - 2025
DA  - 2025/05/26
TI  - Transforming Agriculture With IoT: A Framework for Precision and Efficiency
BT  - Proceedings of the International Conference on Recent Advancements and Modernisations in Sustainable Intelligent Technologies and Applications (RAMSITA 2025)
PB  - Atlantis Press
SP  - 684
EP  - 696
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-716-8_51
DO  - 10.2991/978-94-6463-716-8_51
ID  - Verma2025
ER  -