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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | FARM-PRODUCTS PRICE PREDICTION USING MACHINE LEARNING |
| Authors Name: | K. Chanikya , A. Rakesh , D. Anusha |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_185530
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| Published Paper Id: | IJNRD2301019 |
| Published In: | Volume 8 Issue 1, January-2023 |
| DOI: | |
| Abstract: | India is an agriculturally based nation, and farmers give their entire lives to the country's economy. They encounter serious issues when the crop is not worth the price and when they are ignorant about the marketing price for the crop or commodity in question in a given cluster. Farmers currently suffer significant losses as a result of price volatility brought on by climatic change and other price-influencing factors. From the standpoint of the agricultural industry, the current stage of demand for a crop or Agri-product is reflected in its market price. In order to adapt the production schedule and maximize profit, it is crucial for Agri management to simultaneously monitor and estimate market prices. Accurate crop price forecasting is crucial for crop production control. Such a forecast will assist related industries in planning their supply chain strategies. Generally speaking, farmers can boost their profit and avoid severe loss by using this application, which provides them with a forecast in advance. which ultimately boosts the economy of the nation. Therefore, the goal of this project is to create an application that can calculate the price of agricultural products and assist farmers in anticipating the price of a given commodity. This is possible with the aid of machine learning algorithms, and it primarily relies on the discovery of pertinent data models that aid in reaching high accuracy and generality for price prediction. |
| Keywords: | FARM-PRODUCTS PRICE PREDICTION USING MACHINE LEARNING |
| Cite Article: | "FARM-PRODUCTS PRICE PREDICTION USING MACHINE LEARNING", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 1, page no.a136-a158, January-2023, Available :http://www.ijnrd.org/papers/IJNRD2301019.pdf |
| Downloads: | 000118779 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2301019 Registration ID: 185530 Published In: Volume 8 Issue 1, January-2023 DOI (Digital Object Identifier): Page No: a136-a158 Country: -, -, - Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2301019 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2301019 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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