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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14

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Published Paper Details
Paper Title: Crop Price Prediction
Authors Name: Dr. G. Dhanabalan , N. Roshini , P. Ganesh Sai Kumar , P. Venkatesh
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Published Paper Id: IJRTI2304198
Published In: Volume 8 Issue 4, April-2023
Abstract: This project target is largely concentrated on farming. In farming, farmers play the most important part. When the price falls after the crop, farmers face immense losses. A country’s GDP(Gross Domestic Product ) is affected by the price oscillations of agrarian products. Crop price estimation and evaluation are done to take an intelligent decision before cultivating a specific type of crop. Predicting the price of a crop will help in taking better opinions which results in minimizing the loss and managing the threat of price oscillations. Price prediction, currently, has come to a veritably important agrarian problem that’s to be answered only grounded on the available data. The end of this project is to forecast the crop price for the coming gyration. This work is grounded on chancing suitable data models that help in achieving high delicacy and generality for price prediction. For working on this problem, different Data Mining ways were estimated on different data sets. This work presents a system that uses data analytics ways in order to prognosticate the price of the crop. The proposed system will apply machine literacy algorithms and prognosticate the price of the crop grounded on the Yield and price of the former time’s crops. This provides a planter with a perception of the unborn price of the crop that he is going to gather. In this project, we predicted the price of different crops by assaying the former prices of different crops. We used the Random Forest and Linear Regression(Supervised machine literacy algorithms) to dissect the former data and prognosticate the price for the rearmost data and estimate the price of the crop.
Keywords: Price Prediction, Random Forest, Linear Regression, Crop Price, Regression, Forecasting, Machine Learning.
Cite Article: "Crop Price Prediction", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 4, page no.1205 - 1208, April-2023, Available :http://www.ijrti.org/papers/IJRTI2304198.pdf
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ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2304198
Registration ID:186196
Published In: Volume 8 Issue 4, April-2023
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Page No: 1205 - 1208
Country: Thiruvallur , Tamil Nadu, India
Research Area: Engineering
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2304198
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2304198
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ISSN: 2456-3315
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