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DOI Prefix: 10.47001/IRJIET

Early Price Prediction of Crops Using Machine Learning Model

Fathima Begum MComputer Science and Engineering (Cyber Security), Madanapalle Institute of Technology & Science, Annamayya District, Andhra Pradesh, IndiaVenkat Sai Krishna ReddyComputer Science and Engineering (Cyber Security), Madanapalle Institute of Technology & Science, Annamayya District, Andhra Pradesh, IndiaLokesh Reddy.KComputer Science and Engineering (Cyber Security), Madanapalle Institute of Technology & Science, Annamayya District, Andhra Pradesh, India

Vol 9 No 25 (2025): Volume 9, Special Issue of INSPIRE’25 April 2025 | Pages: 359-363

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 24-04-2025

doi Logo doi.org/10.47001/IRJIET/2025.INSPIRE58

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Abstract

The agriculture sector is a cornerstone of India’s economy, contributing as the third-largest GDP sector and supporting the livelihoods of millions. While farmers in India have extensive knowledge of climate conditions and crop suitability, they often face significant investment losses due to over production of specific crops, leading to low market prices. This overproduction is frequently driven by a lack of accurate price forecasting and guidance on crop selection. To address this challenge, machine learning (ML) techniques can be leveraged to predict optimal crops for cultivation and their base market prices. By analysing historical data, market trends, and environmental factors, these advanced models can provide actionable insights to farmers, help farmers increase profits, thereby reducing losses. This approach ensures informed decision-making, minimizes risks, and promotes sustainable economic growth in the agriculture sector.

Keywords

Agriculture, Statistical, Machine learning, Prediction


Citation of this Article

Fathima Begum M, Venkat Sai Krishna Reddy, & Lokesh Reddy.K. (2025). Early Price Prediction of Crops Using Machine Learning Model. In proceeding of International Conference on Sustainable Practices and Innovations in Research and Engineering (INSPIRE'25), published by IRJIET, Volume 9, Special Issue of INSPIRE’25, pp 359-363. Article DOI https://doi.org/10.47001/IRJIET/2025.INSPIRE58

Licence Copyright (c) 2026 International Research Journal of Innovations in Engineering and Technology creative common licence This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence
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