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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: 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 : 21470
Article Published : 8508
Total Authors : 22383
Total Reviewer : 805
Total Countries : 157
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| Paper Title: | Plant Leaf Disease Detection Using Deep Learning Techniques |
| Authors Name: | N.Nikitha |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_189652
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| Published Paper Id: | IJRTI2404092 |
| Published In: | Volume 9 Issue 4, April-2024 |
| DOI: | |
| Abstract: | Farming is a foundation of India's economy, with nourishment and cash crops playing a significant part in natural supportability and human welfare. Be that as it may, the risk of trim maladies looms expansive, driving to critical surrender misfortunes due to inadequately illness determination and constrained understanding of side effects and medicines. This think about offers a comprehensive investigation of plant infection discovery strategies, with a specific center on a vigorous Convolutional Neural Arrange (CNN)-based approach. Picture preparing methods are utilized for the fastidious examination of test pictures, enveloping basic variables such as time complexity and the degree of the tainted locale. The proposed show experiences thorough testing with a dataset comprising 15 cases, comprising 12 occasions of unhealthy plant takes off (e.g., Tomato Late Scourge) and 3 occurrences of sound clears out (e.g., Potato Solid). Amazingly, the demonstrate accomplishes a commendable test precision of 92.00%. |
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| Cite Article: | "Plant Leaf Disease Detection Using Deep Learning Techniques", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.9, Issue 4, page no.658 - 672, April-2024, Available :http://www.ijrti.org/papers/IJRTI2404092.pdf |
| Downloads: | 000205280 |
| 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: IJRTI2404092
Registration ID:189652
Published In: Volume 9 Issue 4, April-2024
DOI (Digital Object Identifier):
Page No: 658 - 672 Country: Hyderabad, Telagana, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2404092 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2404092 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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