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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

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  Authors

Santosh Gajanan Kandalkar,Hemant Arun Akotkar,Pallavi Narendra Ingle,Neha Sanjay Katkhede,Mr. C. R. Ingole

  Keywords

Blockchain, Smart Agriculture, Price Prediction, Buyer Recommendation, Supply Chain Transparency, Smart Contracts, Agriculture Technology

  Abstract


Agriculture remains a primary livelihood for a large portion of the global population; however, farmers continue to face challenges such as price uncertainty, market fluctuations, and limited trust in existing trading systems. In many cases, traditional supply chains depend on intermediaries and centralized databases, which can reduce farmers' profit margins and restrict transparency. Issues such as data inconsistency and lack of reliable market information further complicate decision making. This paper presents Krishi-Unnati, a digital platform designed to improve transparency and support better decision making in agricultural trading. The system integrates blockchain technology, artificial intelligence, and mobile computing within a hybrid architecture. Transactional data, including trade records, is stored on a blockchain ledger to ensure integrity, while other operational data is maintained off-chain to improve efficiency. The platform provides two main functionalities. First, a crop price prediction module based on Random Forest Regression is used to estimate future market prices. Second, a buyer recommendation engine analyzes historical transaction data to suggest suitable trading partners. Together, these components assist farmers in making more informed choices regarding crop sales and market participation. The mobile application is developed using React Native, with a backend built on Node.js, Express.js, and MongoDB. System evaluation indicates improvements in transparency, access to market information, and overall decision support. The proposed approach contributes toward a more reliable and data-driven agricultural trading ecosystem.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2604161

  Paper ID - 304752

  Author type - Indian Author

  Page Number(s) - b283-b296

  Pubished in - Volume 14 | Issue 4 | April 2026

  DOI (Digital Object Identifier) -   

  No Of Downloads - 45

  Author Country - India, 444601, Amravati, Amravati, 444601, Science and Technology

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

  E-ISSN Number - 2320-2882

  Published Paper PDF : - http://www.ijcrt.org/papers/IJCRT2604161

  Published Paper URL: : - http://ijcrt.org/viewfull.php?&p_id=IJCRT2604161

  Published Paper PDF Downlaod: - download.php?file=IJCRT2604161

  Cite this article

Santosh Gajanan Kandalkar,Hemant Arun Akotkar,Pallavi Narendra Ingle,Neha Sanjay Katkhede,Mr. C. R. Ingole,   "Krishi-Unnati: An Integrated Platform For Farmer Empowerment & Profitability Using Blockchain", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.14, Issue 4, pp.b283-b296, April 2026, Available at :http://www.ijcrt.org/papers/IJCRT2604161.pdf

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The International Journal of Creative Research Thoughts (IJCRT) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world.

IJCRT is 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(DOI)

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International Journal of Creative Research Thoughts (IJCRT)
ISSN: 2320-2882 | Impact Factor: 7.97 | Impact Factor: 7.97 and Monthly-Peer-reviewed, and Refereed Journals.
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