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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (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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Issue: December 2025
Volume 10 | Issue 12
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 115
Article Submitted : 19459
Article Published : 8041
Total Authors : 21252
Total Reviewer : 769
Total Countries : 145
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| Paper Title: | Agriculture Yield Prediction: Implementation of AI to predict crop yield and optimize practices |
| Authors Name: | Amol D Chokhat , Om V Ghate , Apeksha R Gadpayle , Bhumika M Kshirsagar , Sandeeli Pawar |
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IJRTI_201792
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| Published Paper Id: | IJRTI2504111 |
| Published In: | Volume 10 Issue 4, April-2025 |
| DOI: | |
| Abstract: | Agricultural data security and transparency are essential for improving crop yield predictions and resource allocation. This study integrates blockchain technology with AI-based predictive models to ensure secure and immutable data storage for crop yield forecasting. Machine learning models, including Random Forest and LSTM, analyze weather conditions, soil nutrients, and past crop yields. The blockchain framework ensures traceability and prevents data tampering. Our results show that a blockchain-integrated AI system improves reliability and farmer trust, leading to better adoption of precision agriculture technologies. Additionally, this research explores the potential of decentralized finance (DeFi) integration for automated insurance claims and subsidy distribution, further increasing efficiency in agricultural financial management. |
| Keywords: | Blockchain, Crop Prediction, AI in Agriculture, Data Security, LSTM, Smart Contracts, Decentralized Finance |
| Cite Article: | "Agriculture Yield Prediction: Implementation of AI to predict crop yield and optimize practices", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 4, page no.b63-b65, April-2025, Available :http://www.ijrti.org/papers/IJRTI2504111.pdf |
| Downloads: | 000387 |
| 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 |
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Published Paper ID: IJRTI2504111
Registration ID:201792
Published In: Volume 10 Issue 4, April-2025
DOI (Digital Object Identifier):
Page No: b63-b65 Country: Amravati, Maharashtra, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2504111 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2504111 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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