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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: October 2025
Volume 10 | Issue 10
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 113
Article Submitted : 18020
Article Published : 7746
Total Authors : 20484
Total Reviewer : 747
Total Countries : 140
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| Paper Title: | Plant Disease Classification System Using Deep Learning Techniques |
| Authors Name: | Princy S , Shanmugapriya P , Dhanush A , Dineshkumar S , Kathir S |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_203137
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| Published Paper Id: | IJRTI2504292 |
| Published In: | Volume 10 Issue 4, April-2025 |
| DOI: | https://doi.org/10.56975/ijrti.v10i4.203137 |
| Abstract: | - Plant diseases pose a significant threat to global agricultural production, leading to substantial economic losses and food shortages. Traditional disease identification methods require expert knowledge and are often time-consuming. With advancements in artificial intelligence, deep learning-based automated plant disease classification has become a promising solution. This study presents a convolutional neural network (CNN) model trained on the PlantVillage dataset using Python, TensorFlow, and Kera’s to classify plant diseases based on leaf images. The model achieves an accuracy of over 95%, demonstrating its effectiveness. The paper discusses data preprocessing, model architecture, training strategies, and performance evaluation. Future improvements and deployment strategies are also addressed. |
| Keywords: | Plant Disease, Deep Learning, Convolutional Neural Networks, TensorFlow, Image Classification, Machine Learning. |
| Cite Article: | "Plant Disease Classification System Using Deep Learning Techniques", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 4, page no.c596-c601, April-2025, Available :http://www.ijrti.org/papers/IJRTI2504292.pdf |
| Downloads: | 000308 |
| 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: IJRTI2504292
Registration ID:203137
Published In: Volume 10 Issue 4, April-2025
DOI (Digital Object Identifier): https://doi.org/10.56975/ijrti.v10i4.203137
Page No: c596-c601 Country: Coimbatore, Tamilnadu , India Research Area: Computer Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2504292 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2504292 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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