An Integrated IoT and AI Framework for Real-Time Crop Monitoring, Adaptive Soil Analysis and Intelligent Yield Prediction

Padmaja Pulicherla, P. M. Priyanka, Valli Madhavi Koti, B. Sushma, K. Shanmugapriya, B. Poornima

2025

Abstract

With the emergence of the Internet of Things (IoT) and Artificial Intelligence (AI), smart agriculture becomes more dynamic, and provides new possibilities in crop monitoring and predicting the yield. To this end, in this paper, we introduce a unified architecture to combine Realtime IoT-enabled soil and crop health monitoring with intelligent AI-based analytics for intelligent decision-making in agriculture. Unlike existing approaches, the proposed model utilizes edge-competing, time-series learning, and explainable AI to give dynamic inherent insight into soil health, crop growth trends, and estimate productivity. The system is also intended to be effective in low-connectivity rural areas, employing sensor fusion, weather data, and GPS-linked environmental profiling to offer recommendations at the local level. With the built-in calibration modules, the architecture guarantees the accuracy, scalability and sustainability in such a way that the farmers can improve the productivity while saving resources.

Paper Citation

in Harvard Style

Pulicherla P., Priyanka P., Koti V., Sushma B., Shanmugapriya K. and Poornima B. (2025). An Integrated IoT and AI Framework for Real-Time Crop Monitoring, Adaptive Soil Analysis and Intelligent Yield Prediction. 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 389-395. DOI: 10.5220/0013866300004919

in Bibtex Style

@conference{icrdicct`2525,
author={Padmaja Pulicherla and P. Priyanka and Valli Koti and B. Sushma and K. Shanmugapriya and B. Poornima},
title={An Integrated IoT and AI Framework for Real-Time Crop Monitoring, Adaptive Soil Analysis and Intelligent Yield Prediction},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - Volume 1: ICRDICCT`25},
year={2025},
pages={389-395},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013866300004919},
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 - An Integrated IoT and AI Framework for Real-Time Crop Monitoring, Adaptive Soil Analysis and Intelligent Yield Prediction
SN - 978-989-758-777-1
AU - Pulicherla P.
AU - Priyanka P.
AU - Koti V.
AU - Sushma B.
AU - Shanmugapriya K.
AU - Poornima B.
PY - 2025
SP - 389
EP - 395
DO - 10.5220/0013866300004919
PB - SciTePress