 |
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)
|
Issue: September 2025
Volume 10 | Issue 9
Review Result and Publication of Paper within : 2-3 days
Click Here For more DetailsFor Authors
Forms / Download
Published Issue Details
Editorial Board
Other IMP Links
Facts & Figure
Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 112
Article Submitted : 17566
Article Published : 7616
Total Authors : 20196
Total Reviewer : 740
Total Countries : 135
Indexing Partner
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| Paper Title: | GREEN GUARDIAN: PLANT DISEASE DETECTION SYSTEM |
| Authors Name: | Mayur Shelke , Neha Sutar , Jatin Godhwani , Kundan Tendolkar , Priyadarshani Doke |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_181904
|
| Published Paper Id: | IJRTI2205088 |
| Published In: | Volume 7 Issue 5, May-2022 |
| DOI: | |
| Abstract: | The identification of plant disease become digitalized and data-driven, enabling advanced support, smart analyses, and planning. This paper proposes a model of plant disease detection and solution based on deep learning, which improves accuracy, and training, and provides a solution to said disease. We are using the deep learning-based approach for image recognition to detect plant diseases. We have examined the main Architecture of the Neural Network: Convolution Neural Network. This model examines diseases like Black Rot, Cedar Apple Rust, Leaf Blight, etc. The current results show the accuracy of the method around to be very high, which is better than traditional methods, thus reducing the influence of disease on agricultural production and being favorable to the sustainable development of agriculture. Therefore, the deep learning algorithm proposed in the paper is of great significance to intelligent agriculture, ecological protection and agricultural production, and general convenience. |
| Keywords: | plant disease recognition, deep learning, computer vision, convolutional neural network |
| Cite Article: | "GREEN GUARDIAN: PLANT DISEASE DETECTION SYSTEM", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 5, page no.523 - 528, May-2022, Available :http://www.ijrti.org/papers/IJRTI2205088.pdf |
| Downloads: | 000205196 |
| 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 |
| Publication Details: |
Published Paper ID: IJRTI2205088
Registration ID:181904
Published In: Volume 7 Issue 5, May-2022
DOI (Digital Object Identifier):
Page No: 523 - 528 Country: Hinjiwadi, Marunji, Maharashtra, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2205088 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2205088 |
| Share Article: | |
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijrti.org
| Google Scholar | ResearcherID Thomson Reuters | Mendeley : reference manager | Academia.edu |
| arXiv.org : cornell university library | Research Gate | CiteSeerX | DOAJ : Directory of Open Access Journals |
| DRJI | Index Copernicus International | Scribd | DocStoc |
ISSN Details
 |
 |
|
ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
DOI (A digital object identifier)
| Providing A digital object identifier by DOI.ONE How to Get DOI? |
Conference
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Important Details
Join RMS/Earn 300
WhatsApp
Click Here
Click Here
Indexing Partner |
|||
| Copyright © 2025 - All Rights Reserved - IJRTI | |||