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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
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Volume 11 | Issue 3
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
Article Submitted : 21664
Article Published : 8541
Total Authors : 22459
Total Reviewer : 811
Total Countries : 159
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| Paper Title: | Smart Agriculture: Plant Leaf Disease Detection using Image Processing |
| Authors Name: | Sanskruti Kharote , Prof. N. L. Bhale , Shweta Mandlik , Chetan Mochi |
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| Author Reg. ID: |
IJRTI_204641
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| Published Paper Id: | IJRTI2506050 |
| Published In: | Volume 10 Issue 6, June-2025 |
| DOI: | |
| Abstract: | The accurate and timely detection of plant leaf diseases is crucial for maintaining crop health and maximizing agricultural yield. Traditional manual monitoring is labor-intensive, time-consuming, and often error-prone. In this research, we propose a deep learning-based solution for the automatic detection and classification of leaf diseases across multiple crops, primarily focusing on grapes and cotton. Using Convolutional Neural Networks (CNN), our system processes image data to identify diseases from various leaf samples with high accuracy and robustness. The models are trained and validated on diverse datasets obtained from Kaggle. The research demonstrates promising results in classifying leaf conditions such as healthy, powdery mildew, and downy mildew in grape leaves, as well as disease categories in cotton leaves. The system can be integrated into smart farming technologies to provide real-time diagnosis and assist farmers in taking corrective actions. The proposed approach contributes significantly toward precision agriculture by automating disease identification and ensuring better crop management. |
| Keywords: | Leaf disease detection, CNN, Image Processing, Grape disease, Cotton disease, Deep Learning, Agricultural AI, Plant pathology |
| Cite Article: | "Smart Agriculture: Plant Leaf Disease Detection using Image Processing", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 6, page no.a459-a462, June-2025, Available :http://www.ijrti.org/papers/IJRTI2506050.pdf |
| Downloads: | 000429 |
| 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: IJRTI2506050
Registration ID:204641
Published In: Volume 10 Issue 6, June-2025
DOI (Digital Object Identifier):
Page No: a459-a462 Country: Nashik, Maharashtra, India Research Area: Information Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2506050 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2506050 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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