Smart Agriculture Monitoring and Nutrient Management System with Disease Detection

Kavin S., Sathya T., Parimala Devi M., Kowsika K. S., Naga Arjun J., Nithish Kumar S.

2025

Abstract

By utilizing the technology that exists now, the paper focuses on enhancing the efficiency of agriculture and the agriculture system. Keywords: Agricultural resource management, Early disease detection, Crop improvement, Soil nutrient management the research theme tackles pressing agricultural problems like resource management, early disease identification and enhancing crop productivity. This system employs technologies such as IoT, Machine Learning, and image processing to control vital farming parameters. Soil moisture sensor, temperature and humidity sensor, disease detection camera module. These devices gather real-time information, and the data is processed and visualized using a user-friendly mobile application. To save water and keep the crop hydrated properly, automated irrigation is applied according to soil moisture level. The findings demonstrate that the resources tend to be used in a better way, identification of crop diseases occurs faster and the yield of crops has increased markedly. As a commercial product, it allows agronomists and farmers to make data-driven decisions, minimizing human labor, preventing waste of resources. Moving forward, the system will also involve the addition of more sensors to measure other soil characteristics, a wider data set of disease detection capabilities, and predictive analytics to forecast yields. The transformative nature of this work could lead to precision farming and sustainability, creating a much more resilient agricultural ecosystem.

Paper Citation

in Harvard Style

S. K., T. S., M. P., S. K., J. N. and S. N. (2025). Smart Agriculture Monitoring and Nutrient Management System with Disease Detection. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 832-839. DOI: 10.5220/0013921500004919

in Bibtex Style

@conference{icrdicct`2525,
author={Kavin S. and Sathya T. and Parimala M. and Kowsika S. and Naga J. and Nithish S.},
title={Smart Agriculture Monitoring and Nutrient Management System with Disease Detection},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={832-839},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013921500004919},
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 - ICRDICCT`25
TI - Smart Agriculture Monitoring and Nutrient Management System with Disease Detection
SN - 978-989-758-777-1
AU - S. K.
AU - T. S.
AU - M. P.
AU - S. K.
AU - J. N.
AU - S. N.
PY - 2025
SP - 832
EP - 839
DO - 10.5220/0013921500004919
PB - SciTePress