Deep learning image-based automated application on classification of tomato leaf disease by pre-trained deep convolutional neural networks

ReddyPriya Madupuri; Dinesh Reddy Vemula; Anil Carie Chettupally; Abdur Rashid Sangi; Pallam ravi

doi:10.22581/muet1982.2303.06

No Detail Found!

Deep learning image-based automated application on classification of tomato leaf disease by pre-trained deep convolutional neural networks

Author(s)

ReddyPriya Madupuri Department of Computer Science and Engineering, SRM University-AP,Amaravati, Guntur,India

Dinesh Reddy Vemula Department of Computer Science and Engineering, SRM University-AP,Amaravati, Guntur,India

Anil Carie Chettupally Department of Computer Science and Engineering, SRM University-AP,Amaravati, Guntur,India

Abdur Rashid Sangi Department of Computer Science, College of Science and Technology, Wenzhou-Kean University,Ouhai, Wenzhou Zhejiang,China

Pallam ravi Department of Computer Science and Engineering, Anurag University, Hyderabad India

Abstract

The agriculture sector is one of the major sectors in India. India is well known for the production of various varieties of spices, fruits, vegetables, herbs, etc. Along with the pollution, the diseases that are affecting plants are increasing and there are various reasons for this. Tomato is one of the high-demand crops in the market and is produced in large quantities. There are many diseases that tomatoes get affected by because of the virus, fungus, bacteria, etc. In this project, we proposed a model to identify the diseases of tomato plants using images of tomato plant leaves. Our main goal is to develop a good model with decent accuracy and a mobile application that works with or without the internet for users, especially farmers. The Convolution Neural Network-based approach is used to create the model for this project. This proposed system model gives 98 % accuracy and that model is converted to the TF Lite model which is used in the application. This application can precisely predict the disease of the tomato leaf and suggest the treatment for it.

Publication Details

Page(s) 52-58

DOI 10.22581/muet1982.2303.06

Published Journal: Mehran University Research Journal of Engineering and Technology, Volume: 42, Issue: 3, Year: 2023

Request the full text from PASTIC

Keywords

Convolutional Neural Networks Machine Learning Image Classification

Citations

Downloads

Views