 |
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 : 19482
Article Published : 8050
Total Authors : 21282
Total Reviewer : 770
Total Countries : 145
Indexing Partner
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| Paper Title: | Paddy Disease Identification and Drug Suggestion using Deep Learning and Expert Systems |
| Authors Name: | Kasthuri Niruban |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_187681
|
| Published Paper Id: | IJRTI2307111 |
| Published In: | Volume 8 Issue 7, July-2023 |
| DOI: | |
| Abstract: | Paddy cultivation is considered one of the main crops in Sri Lanka. Paddy crops are affected by different kinds of diseases, lack of knowledge of farmers on early symptoms of paddy diseases causes major losses in the agriculture industry. Early identification of paddy diseases and apply suitable drugs for the diseases increase the profit in paddy cultivation. So, it is essential to provide an efficient method to identify paddy diseases. This study focused to develop a paddy disease identification and drug suggestion system using deep learning technologies and expert systems. A Fully connected convolution neural network approach was used to identify paddy diseases and suitable drugs were suggested by expert systems. This study mainly focuses on five rice diseases such as Cerospora Sheath Rot, Early Leaf Lesion, Grain Discoloration, Galls on Panicle, and Leaf Blast. In the evaluation process of paddy disease identification, 600 paddy crop samples were used to classify five paddy diseases and health leaves. The classification accuracy of 95.7% was obtained on the dataset. |
| Keywords: | Agriculture, Convolution Neural Network, Expert Systems, Paddy disease classification |
| Cite Article: | "Paddy Disease Identification and Drug Suggestion using Deep Learning and Expert Systems ", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 7, page no.762 - 767, July-2023, Available :http://www.ijrti.org/papers/IJRTI2307111.pdf |
| Downloads: | 000205202 |
| 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: IJRTI2307111
Registration ID:187681
Published In: Volume 8 Issue 7, July-2023
DOI (Digital Object Identifier):
Page No: 762 - 767 Country: Mannar, Northern Province, Sri Lanka Research Area: Information Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2307111 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2307111 |
| 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 | |||