Plant disease detection system using deep learning

Prof. Girish B.Shettar , Sreyas Shetty , Akash Malenni , Samarth Chattaraki , Akshay M Joshi

deep learning algorithms, Preprocessing Classifier

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.

Published Paper   E-Certificate

"Plant disease detection system using deep learning", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.8, Issue 7, page no.86 - 88, July-2023, Available :https://ijsdr.org/papers/IJSDR2307013.pdf

Volume 8 Issue 7, July-2023

Pages : 86 - 88

Paper Reg. ID: IJSDR_207408

Published Paper Id: IJSDR2307013

Downloads: 000347315

Research Area: Engineering

Country: bagalkote, karnataka, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2307013

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2307013

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition