Current Volume 9
Abstract
Agriculture plays a vital role in economic development, yet farmers face significant challenges due to unpredictable fluctuations in crop prices caused by weather conditions, market demand, and supply variations. These uncertainties often result in financial losses and inefficient decision-making. This paper presents an Agriculture Crop Price Forecasting and Advisory System that utilizes machine learning and data analytics techniques to predict future crop prices and provide actionable recommendations. The system analyzes historical agricultural data, including rainfall, temperature, seasonal trends, and market conditions, to identify patterns influencing price variations. A Linear Regression model is employed to forecast crop prices, and its performance is evaluated using statistical measures such as Mean Squared Error and R-squared score. Additionally, an interactive dashboard is developed using Power BI to visualize insights and trends effectively. The proposed system enables farmers to make informed decisions regarding crop selection and selling time, thereby improving profitability and reducing risk. The results demonstrate that the system provides reliable predictions and supports data-driven agricultural practices.
Keywords
Crop Price Prediction, Machine Learning, Agriculture, Data Analytics, Forecasting, Advisory System
Citations
IRE Journals:
Nandyala Naresh Reddy, Mula Rama Rohith Reddy, Marthala Kushal Reddy, Koutalam Chiranjeevi, Prof. Karthikeyan A N "Agriculture Crop Price Forecasting and Advisory System" Iconic Research And Engineering Journals Volume 9 Issue 11 2026 Page 43-51 https://doi.org/10.64388/IREV9I11-1717186
IEEE:
Nandyala Naresh Reddy, Mula Rama Rohith Reddy, Marthala Kushal Reddy, Koutalam Chiranjeevi, Prof. Karthikeyan A N
"Agriculture Crop Price Forecasting and Advisory System" Iconic Research And Engineering Journals, 9(11) https://doi.org/10.64388/IREV9I11-1717186
About IRE Journals
IRE Journals is an open access online journals established with an aim to publish high quality of research work in various diciplines. We have more than 6 years in publications. Over 2500+ papers already published.
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