Comparative Study of LSTM-Models to Forecast Millet Production in India

Bhramara Bar Biswal, Satyanarayan Sahu, Satya Narayan Das, Prahallad Kumar Sahu, Shibani Tripathy, Agni Tanmaya Behera, Soumya Tanmaya Mishra, Ashutosh Mallik, Shobhan Banerjee

2025

Abstract

The production of millets has been extensively emphasized these days. Due to their high intrinsic qualities and fewer requirements, the government is also trying to promote the production and consumption of millet in the form of various millet missions. Due to limitations in the size of the data available, it becomes extremely challenging to fine-tune the model in the context of limited availability. In this paper, we have attempted to predict the consumption of millet in the Indian market using various variants of Long Short-Term Memory (LSTM) models and compared their performances to predict the requirements of Jowar, Bajra, Ragi, and other minor millet to see whether the forecast can meet the overall aggregated requirement or not. Both aggregate and granular level forecasts have been analyzed to come up with a solution especially where the market is booming, and data availability is constrained.

Paper Citation

in Harvard Style

Biswal B., Sahu S., Das S., Sahu P., Tripathy S., Behera A., Mishra S., Mallik A. and Banerjee S. (2025). Comparative Study of LSTM-Models to Forecast Millet Production in India. In Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT; ISBN 978-989-758-763-4, SciTePress, pages 631-637. DOI: 10.5220/0013583000004664

in Bibtex Style

@conference{incoft25,
author={Bhramara Biswal and Satyanarayan Sahu and Satya Das and Prahallad Sahu and Shibani Tripathy and Agni Behera and Soumya Mishra and Ashutosh Mallik and Shobhan Banerjee},
title={Comparative Study of LSTM-Models to Forecast Millet Production in India},
booktitle={Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT},
year={2025},
pages={631-637},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013583000004664},
isbn={978-989-758-763-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT
TI - Comparative Study of LSTM-Models to Forecast Millet Production in India
SN - 978-989-758-763-4
AU - Biswal B.
AU - Sahu S.
AU - Das S.
AU - Sahu P.
AU - Tripathy S.
AU - Behera A.
AU - Mishra S.
AU - Mallik A.
AU - Banerjee S.
PY - 2025
SP - 631
EP - 637
DO - 10.5220/0013583000004664
PB - SciTePress