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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)

International Peer Reviewed & Refereed Journals, Open Access Journal

IJCRT Peer-Reviewed (Refereed) Journal as Per New UGC Rules.

ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013

Call For Paper - Volume 14 | Issue 4 | Month- April 2026

Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 7.97 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(CrossRef DOI)

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  Published Paper Details:

  Paper Title

Agricultural Auction System Using AI And ML

  Authors

  Shwetal Arjun Shete,  Akshada Korade,  Tejaswini Ransing,  Maruti Bangar,  Nilophar Mulani

  Keywords

Agriculture , Auction, Middlemen, Farmers, Consumers, Crop, Goods

  Abstract


Due to middlemen who set low prices when buying from farmers and then sell the same at higher prices to consumers, farmers have experienced problems while trying to sell their food crops on the market. So we are going to made a platform which is only accessible to farmers who have a farmer's ID and registered farmer phone number. Farmers can establish their own prices for their products through a web-based programme, which also enables purchasers to participate in an online auction. The farmer determines the initial beginning price by consulting the dashboard's demand page. To verify that the price mentioned reflects the current market value of agricultural items, a machine learning system was used to make the prediction. Farmers are guaranteed to receive the highest price for their goods because to the fair competition that the bidding procedure promotes among buyers. Before participating in an online auction, farmers can choose the opening bid amount depending on the products' quality, lifespan, and current market price. Since the dashboard is updated often, buyers can see the highest bid amount listed there. Once the validity of the bid has expired and the matching buyer and seller have been alerted by SMS, the choices are locked. Customers can put their questions on the interface and receive assistance from agricultural experts using it as a decision support system. It is a user-friendly website that was exclusively created with farmers'

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2404902

  Paper ID - 256348

  Page Number(s) - h867-h870

  Pubished in - Volume 12 | Issue 4 | April 2024

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Shwetal Arjun Shete,  Akshada Korade,  Tejaswini Ransing,  Maruti Bangar,  Nilophar Mulani,   "Agricultural Auction System Using AI And ML", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 4, pp.h867-h870, April 2024, Available at :http://www.ijcrt.org/papers/IJCRT2404902.pdf

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Call For Paper April 2026
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ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
ISSN
ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
ISSN
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