Crop Recommendation System Using Machine Learning

K. Salma Kathoon, N. Venkatesh Naik, Telugu Vinay Kumar, Kanike Narasimha, Annem Venkata Srinivasulu, Ediga Hari Sai Nandhan Goud

2025

Abstract

Agriculture plays a crucial role in the global economy, and selecting the right crop based on environmental and soil conditions is essential for maximizing yield. Traditional crop recommendation systems rely on manual analysis, which may not always be accurate. This paper proposes a Deep Learning-based Crop Recommendation System that leverages soil parameters (such as nitrogen, phosphorus, potassium, pH, temperature, humidity, and rainfall) to suggest the best-suited crops for farmers. We employ a Neural Network (NN) and Convolutional Neural Network (CNN) model trained on agricultural datasets to predict optimal crops. The system aims to improve decision-making in farming, enhance productivity, and reduce resource wastage. Experimental results demonstrate that the proposed model achieves high accuracy in crop recommendation compared to traditional methods.

Paper Citation

in Harvard Style

Kathoon K., Naik N., Kumar T., Narasimha K., Srinivasulu A. and Goud E. (2025). Crop Recommendation System Using Machine Learning. 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 5-9. DOI: 10.5220/0013890800004919

in Bibtex Style

@conference{icrdicct`2525,
author={K. Kathoon and N. Naik and Telugu Kumar and Kanike Narasimha and Annem Srinivasulu and Ediga Goud},
title={Crop Recommendation System Using Machine Learning},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={5-9},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013890800004919},
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 - Crop Recommendation System Using Machine Learning
SN - 978-989-758-777-1
AU - Kathoon K.
AU - Naik N.
AU - Kumar T.
AU - Narasimha K.
AU - Srinivasulu A.
AU - Goud E.
PY - 2025
SP - 5
EP - 9
DO - 10.5220/0013890800004919
PB - SciTePress