DeepAI
Log In Sign Up

Identify Apple Leaf Diseases Using Deep Learning Algorithm

07/27/2021
by   Daping Zhang, et al.
0

Agriculture is an essential industry in the both society and economy of a country. However, the pests and diseases cause a great amount of reduction in agricultural production while there is not sufficient guidance for farmers to avoid this disaster. To address this problem, we apply CNNs to plant disease recognition by building a classification model. Within the dataset of 3,642 images of apple leaves, We use a pre-trained image classification model Restnet34 based on a Convolutional neural network (CNN) with the Fastai framework in order to save the training time. Overall, the accuracy of classification is 93.765

READ FULL TEXT
07/29/2022

Paddy Leaf diseases identification on Infrared Images based on Convolutional Neural Networks

Agriculture is the mainstay of human society because it is an essential ...
01/09/2019

Image Recognition of Tea Leaf Diseases Based on Convolutional Neural Network

In order to identify and prevent tea leaf diseases effectively, convolut...
12/03/2018

Identification and Recognition of Rice Diseases and Pests Using Deep Convolutional Neural Networks

An accurate and timely detection of diseases and pests in rice plants ca...
05/31/2019

Deep interpretable architecture for plant diseases classification

Recently, many works have been inspired by the success of deep learning ...
09/16/2022

A Mosquito is Worth 16x16 Larvae: Evaluation of Deep Learning Architectures for Mosquito Larvae Classification

Mosquito-borne diseases (MBDs), such as dengue virus, chikungunya virus,...
04/07/2020

Mobile-Based Deep Learning Models for Banana Diseases Detection

Smallholder farmers in Tanzania are challenged on the lack of tools for ...
05/04/2018

Assessing a mobile-based deep learning model for plant disease surveillance

Convolutional neural network models (CNNs) have made major advances in c...