Crop Price Forecasting Utilizing Convolutional Neural Networks

Farooq Sunar Mahammad, Meda Prashanth, Neravati Sai Dinesh, Kasarla Sateesh, Sangam Hemanth Reddy, M. Munna

2025

Abstract

The agricultural market is subject to a great deal of volatility due to seasonal changes, supply chain disruptions, and economic changes. Traditional price forecasting models are based primarily on statistical techniques, which tend to miss out on the complex non-linear relationships in price movements. In this study, we proposed a deep learning-based model based on Convolutional Neural Networks (CNN's) for crop price prediction. It leverages the historical pricing data, climate influences, and market demand to improve its predictions. Using its capability to identify spatial and temporal patterns, our approach outperforms typical machine learning techniques.

Paper Citation

in Bibtex Style

@conference{icrdicct`2525,
author={Farooq Mahammad and Meda Prashanth and Neravati Dinesh and Kasarla Sateesh and Sangam Reddy and M. Munna},
title={Crop Price Forecasting Utilizing Convolutional Neural Networks},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - Volume 1: ICRDICCT`25},
year={2025},
pages={812-818},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013873700004919},
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 - Crop Price Forecasting Utilizing Convolutional Neural Networks
SN - 978-989-758-777-1
AU - Mahammad F.
AU - Prashanth M.
AU - Dinesh N.
AU - Sateesh K.
AU - Reddy S.
AU - Munna M.
PY - 2025
SP - 812
EP - 818
DO - 10.5220/0013873700004919
PB - SciTePress

in Harvard Style

Mahammad F., Prashanth M., Dinesh N., Sateesh K., Reddy S. and Munna M. (2025). Crop Price Forecasting Utilizing Convolutional Neural Networks. 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 812-818. DOI: 10.5220/0013873700004919