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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: April 2026
Volume 11 | Issue 4
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 119
Article Submitted : 22189
Article Published : 8705
Total Authors : 22904
Total Reviewer : 820
Total Countries : 161
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| Paper Title: | AGRO-TECH: A MACHINE LEARNING-BASED CROP RECOMMENDATION AND DISEASE DETECTION SYSTEM |
| Authors Name: | Neeta Ingale , Ameya katole , Sakshi Katkar , Saurabh Desai , Saloni Tekawade |
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IJRTI_202669
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| Published Paper Id: | IJRTI2504213 |
| Published In: | Volume 10 Issue 4, April-2025 |
| DOI: | |
| Abstract: | Agriculture is a crucial sector in global food production, and optimizing crop selection and disease management is essential for sustainable farming. This paper presents AgroTech, a machine learning-based system that provides crop recommendations based on soil nutrients (Nitrogen, Phosphorus, Potassium, and pH), weather conditions, and soil content. Additionally, it employs image recognition techniques to identify plant diseases and suggest appropriate solutions. The system leverages supervised learning algorithms for crop prediction and convolutional neural networks (CNN) for disease detection. Experimental results demonstrate high accuracy in both crop recommendation and disease classification, proving its potential to enhance agricultural productivity. |
| Keywords: | Machine Learning, Crop Recommendation, Disease Detection, Image Recognition, Precision Agriculture, Soil Nutrients, Weather Data. |
| Cite Article: | "AGRO-TECH: A MACHINE LEARNING-BASED CROP RECOMMENDATION AND DISEASE DETECTION SYSTEM ", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.10, Issue 4, page no.b908-b914, April-2025, Available :http://www.ijrti.org/papers/IJRTI2504213.pdf |
| Downloads: | 000476 |
| 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: IJRTI2504213
Registration ID:202669
Published In: Volume 10 Issue 4, April-2025
DOI (Digital Object Identifier):
Page No: b908-b914 Country: -, -, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2504213 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2504213 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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