Vegetable Leaves Disease Prediction using Deep Learning (SMART AI)

• Author(s): Saurav Khan ; Ashish Kumar ; Divij Bhatia ; Vikash Kumar
• Paper ID: 1704203
• Page: 255-260
• Published Date: 27-03-2023
• Published In: Iconic Research And Engineering Journals
• Publisher: IRE Journals
• e-ISSN: 2456-8880
• Volume/Issue: Volume 6 Issue 9 March-2023

Abstract

The population across the world are increasing rapidly which leads to the high demand of food but the supply chain of food is not enough to meet the requirements. This issue leads to high production of food but one of the major problem arises in agricultural sector is plant disease that is the major threat to farmers. By early detection of these plant disease can help farmers to prevent the plant wastage and also prevent their financial losses. In this project, we train a Deep Learning CNN model to detect different plant diseases that are affecting farmers adversely. Farmers will be able to detect these plant diseases at early stage of agricultural production and can take various measures to prevent these diseases. We have used dataset of 17,055 images of 5 different plant categories in 15 classes including healthy and unhealthy plant leaves. Our model is achieves an accuracy of 93.22% upon training these datasets. We are also proposing the web application which will detect the disease of these 5 different plant categories for 15 classes.

Citations

IRE Journals:
Saurav Khan , Ashish Kumar , Divij Bhatia , Vikash Kumar "Vegetable Leaves Disease Prediction using Deep Learning (SMART AI)" Iconic Research And Engineering Journals Volume 6 Issue 9 2023 Page 255-260

IEEE:
Saurav Khan , Ashish Kumar , Divij Bhatia , Vikash Kumar "Vegetable Leaves Disease Prediction using Deep Learning (SMART AI)" Iconic Research And Engineering Journals, 6(9)