 |
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: December 2025
Volume 10 | Issue 12
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 : 115
Article Submitted : 19623
Article Published : 8077
Total Authors : 21364
Total Reviewer : 770
Total Countries : 147
Indexing Partner
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| Paper Title: | A Study On Convolutional Neural Networks for Crop Disease Classification |
| Authors Name: | Wishbin Robin , Amalu Shaji , Arjun K Mohan , Vyshnavy Prakash , Sabarinath G |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_182662
|
| Published Paper Id: | IJRTI2206311 |
| Published In: | Volume 7 Issue 6, July-2022 |
| DOI: | |
| Abstract: | Industry in India suffers from various issues of malnutrition, crop diseases or pest infestations which occur differently at different seasons. Identification of the plant diseases is the key to preventing the losses in the yield and quantity of the agricultural product. It is very difficult to monitor the plant diseases manually. It requires a tremendous amount of work, and also requires excessive processing time. It is also difficult to appropriately identify the type of diseases at an early stage. So, farmers resort to the use of pesticides/fertilizers in excess amounts expecting to save and increase their produce, which may result in reduced yields, and significant adverse health problems to the consumers. Hence, image processing is used for the detection of plant diseases. Disease detection involves the steps like image acquisition, image pre-processing, image segmentation, feature extraction and classification. This paper discussed the methods used for the detection of plant diseases using their leaves images. |
| Keywords: | Convolutional Neural Networks, Deep Learning, Machine Learning, Classifier |
| Cite Article: | "A Study On Convolutional Neural Networks for Crop Disease Classification", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 6, page no.2070 - 2074, July-2022, Available :http://www.ijrti.org/papers/IJRTI2206311.pdf |
| Downloads: | 000205078 |
| 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: IJRTI2206311
Registration ID:182662
Published In: Volume 7 Issue 6, July-2022
DOI (Digital Object Identifier):
Page No: 2070 - 2074 Country: Kottayam, Kerala, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2206311 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2206311 |
| 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 | |||