


Volume 20 No 20 (2022)
Download PDF
Price Prediction for Agricultural Products in India using Machine Learning
Vishal Kumar,Sasmita Mishra ,Gouri Shankar Mishra , Pradeep KumarMishra , Anuj Mohan , Avantika Garg, Tarun Maini
Abstract
Predicting the price of agricultural products is an attempt to foresee the effects of price fluctuations. The prices
of different agricultural products have been predicted using a variety of techniques. The goal of this study is to
analyse several approaches to forecasting the prices of agricultural products in the review and to identify areas
for further research.Accurate price forecasting is now even more crucial for decision makers due to the high
volatility of agricultural commodity prices during the previous ten years. The systematic review presents a
thorough analysis of the study issue.
Keywords
- Machine learning, Price prediction, Agriculture Commodity, forecasting
Copyright
Copyright © Neuroquantology
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Articles published in the Neuroquantology are available under Creative Commons Attribution Non-Commercial No Derivatives Licence (CC BY-NC-ND 4.0). Authors retain copyright in their work and grant IJECSE right of first publication under CC BY-NC-ND 4.0. Users have the right to read, download, copy, distribute, print, search, or link to the full texts of articles in this journal, and to use them for any other lawful purpose.