INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
Plant disease detection system using deep learning
Authors Name:
Prof. Girish B.Shettar
, Sreyas Shetty , Akash Malenni , Samarth Chattaraki , Akshay M Joshi
Unique Id:
IJSDR2307013
Published In:
Volume 8 Issue 7, July-2023
Abstract:
Plant diseases have an effect on the expansion of their species , therefore early detection is extremely vital. We propose a deep learning approach for plant disease detection using an Android app. Our approach consists of two parts: (1) a deep learning model that is trained to detect plant diseases from images and video captured. (2) an Android app that uses the trained model to detect plant diseases from images and video captured by the user. The application also provides solutions based on detected disease. The developed mobile application is user-friendly and can be used by farmers without much technical knowledge.
Keywords:
deep learning algorithms, Preprocessing Classifier
Cite Article:
"Plant disease detection system using deep learning", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 7, page no.86 - 88, July-2023, Available :http://www.ijsdr.org/papers/IJSDR2307013.pdf
Downloads:
000338536
Publication Details:
Published Paper ID: IJSDR2307013
Registration ID:207408
Published In: Volume 8 Issue 7, July-2023
DOI (Digital Object Identifier):
Page No: 86 - 88
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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