Agro AI: Intelligent Nutrient and Disease Management System for Sustainable Farming

P. Veera Prakash, M. Gowthami, B. Lokesh, R. Anila, Harsha Vardhan P.

2025

Abstract

Agriculture plays a key role in food security, and managing nutrients and detecting diseases are crucial for food production. Farmers traditionally struggle to identify nutrient deficiencies and diseases accurately despite the possibility of using technology, due to the cost of a solution that can provide accurate and real-time data. As an answer to this gap AGRO-AI proposes an intelligent system that predicts NPK (Nitrogen, Phosphorus, Potassium) values in a specific field and disease detection on paddy leaves with the help of image processing and deep learning. The dataset consisted of repeated sampling (i.e. three samples per week) over 20 weeks to allow for analysis of variations in nutrient data and disease symptoms. A hybrid model is used in the system for NPK prediction that consists of ResNet-34 and BiGRU whereas CNN and GAN models are used for disease prediction. The results are analyzed in more detail using confusion matrices, accuracy trends, and precision-recall curves. According to the predictions, AGRO-AI provides practical recommendations for natural and chemical fertilizers and also suggests disease management policies. Trained on data through October 2023, this research ultimately serves to connect technology with an application that can empower farmers with needed data in real-time for optimized crop management to lead to increased yield productivity.

Paper Citation

in Harvard Style

Prakash P., Gowthami M., Lokesh B., Anila R. and P. H. (2025). Agro AI: Intelligent Nutrient and Disease Management System for Sustainable Farming. 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 531-537. DOI: 10.5220/0013932500004919

in Bibtex Style

@conference{icrdicct`2525,
author={P. Prakash and M. Gowthami and B. Lokesh and R. Anila and Harsha P.},
title={Agro AI: Intelligent Nutrient and Disease Management System for Sustainable Farming},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={531-537},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013932500004919},
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 - Agro AI: Intelligent Nutrient and Disease Management System for Sustainable Farming
SN - 978-989-758-777-1
AU - Prakash P.
AU - Gowthami M.
AU - Lokesh B.
AU - Anila R.
AU - P. H.
PY - 2025
SP - 531
EP - 537
DO - 10.5220/0013932500004919
PB - SciTePress