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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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Issue: March 2026
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: | DeepLeaf: Convolutional Neural Networks-Based AI-Powered Plant Disease Identification |
| Authors Name: | Akshay Rajendra Maske , Dr.Mahesh Mathpati , Mr Antosh dayde , Dr Neeta Kulkarni , Dr Sahdev Shinde |
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IJRTI_203605
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| Published Paper Id: | IJRTI2506184 |
| Published In: | Volume 10 Issue 6, June-2025 |
| DOI: | |
| Abstract: | One of the most important sectors in the world is agriculture, which provides food for the expanding population. Plant diseases, however, pose a substantial threat to agricultural output and quality, leading to significant financial losses. Early detection and accurate diagnosis are essential to reducing the detrimental effects of plant diseases. An automated, scalable method is required because traditional manual disease diagnosis is laborious and prone to inaccuracy. In this essay, We present DeepLeaf, a convolutional neural network (CNN)-based AI-driven system for identifying plant diseases. Rapid and accurate diagnoses are provided by the technology, which uses deep learning to automatically categorize plant illnesses from leaf photos. We outline the model training process, evaluation outcomes, dataset preparation, and system design. On benchmark datasets, DeepLeaf exhibits cutting-edge performance and has a lot of promise for practical agricultural applications. |
| Keywords: | : Plant Disease Recognition, Convolutional Neural Networks, Deep Learning, Agriculture, Image Classification, Precision Farming |
| Cite Article: | "DeepLeaf: Convolutional Neural Networks-Based AI-Powered Plant Disease Identification", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 6, page no.b702-b707, June-2025, Available :http://www.ijrti.org/papers/IJRTI2506184.pdf |
| Downloads: | 000392 |
| 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: IJRTI2506184
Registration ID:203605
Published In: Volume 10 Issue 6, June-2025
DOI (Digital Object Identifier):
Page No: b702-b707 Country: Solapur, Maharashtra, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2506184 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2506184 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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