Enhancing Agricultural Practices through Machine Learning for Soil Analysis and Crop Recommendation

Paineni Vaishnavi, Uppara Pavani, Sameena Yousuff, Pitta Pavani, Kalluru Divya Sai

2025

Abstract

Based on many factors including Season, Soil type, Rainfall, Temperature, Groundwater Level, Fertilizers, and Pesticides, the crop recommendation system based on machine learning suggests to the farmer the crop to be grown. This follows through examination of SVM and DT and a hybrid model of it as a new system on crop prediction. This is done through crop and crop production data-sets which enable this model to provide reliable recommendations. It also sorts crops based on quality and its findings help determine the quality of both high and low-quality leads and helps boost industrial production and economic growth.

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Paper Citation


in Harvard Style

Vaishnavi P., Pavani U., Yousuff S., Pavani P. and Sai K. (2025). Enhancing Agricultural Practices through Machine Learning for Soil Analysis and Crop Recommendation. 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 568-574. DOI: 10.5220/0013935300004919


in Bibtex Style

@conference{icrdicct`2525,
author={Paineni Vaishnavi and Uppara Pavani and Sameena Yousuff and Pitta Pavani and Kalluru Sai},
title={Enhancing Agricultural Practices through Machine Learning for Soil Analysis and Crop Recommendation},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={568-574},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013935300004919},
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 - Enhancing Agricultural Practices through Machine Learning for Soil Analysis and Crop Recommendation
SN - 978-989-758-777-1
AU - Vaishnavi P.
AU - Pavani U.
AU - Yousuff S.
AU - Pavani P.
AU - Sai K.
PY - 2025
SP - 568
EP - 574
DO - 10.5220/0013935300004919
PB - SciTePress