Plant Leaf Disease Detection using Inception Resnet V2 -CNN

Author:

Vishal Tanawade 1,Suraj Shirude 1,Hitesh Saswadkar 1,Sarthak Thorat 1,Pratik Karhekar 1,Prof. V. V. Waykule 1

Affiliation:

1. AISSMS College of Engineering, Pune, Maharashtra, India

Abstract

India is a agriculture country, most of the people are farmers. Still farmers are not able to increase their income, productivity due to different types of diseases in plant. It has negative impact on farming. Now a days number of diseases are increased, so identifying the name of disease is one of the challenge for farmers. If plant diseases are not discovered in early stage, then this can harm crop in large extent, so we need to create a system which can easily identify the name of disease. And also, in India most of the farmers are not educated so we also required to create a simple user interface either by using web development or by using Android app development. Usually, plant’s leaf is primary source for identifying the name of the disease, so we required to create a CNN model which can easily identify the name of the disease by scanning the photo of leaf. If farmers are able to identify the disease in the early stage, they can take required action and loss of production can be reduced.

Publisher

Naksh Solutions

Subject

General Medicine

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Leaf Disease Identification using ResNet;2023 International Conference on Artificial Intelligence and Knowledge Discovery in Concurrent Engineering (ICECONF);2023-01-05

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