Automatic Detection of Citrus Fruit and Leaves Diseases Using Deep Neural Network Model

Asad Khattak,Hayat Ullah,Muhammad Zubair Asghar,Muhammad Usama Asghar,Ulfat Batool,Abdu Gumaei,Mabrook Al-Rakhami

doi:10.1109/access.2021.3096895

Asad Khattak, Hayat Ullah + Show 5 more

Open Access

https://doi.org/10.1109/access.2021.3096895

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Journal: IEEE Access	Publication Date: Jan 1, 2021
Citations: 76	License type: CC BY 4.0

Affiliation: Gomal University, Zayed University, King Saud University

Abstract

Citrus fruit diseases are the major cause of extreme citrus fruit yield declines. As a result, designing an automated detection system for citrus plant diseases is important. Deep learning methods have recently obtained promising results in a number of artificial intelligence issues, leading us to apply them to the challenge of recognizing citrus fruit and leaf diseases. In this paper, an integrated approach is used to suggest a convolutional neural networks (CNNs) model. The proposed CNN model is intended to differentiate healthy fruits and leaves from fruits/leaves with common citrus diseases such as black spot, canker, scab, greening, and Melanose. The proposed CNN model extracts complementary discriminative features by integrating multiple layers. The CNN model was checked against many state-of-the-art deep learning models on the Citrus and PlantVillage datasets. According to the experimental results, the CNN Model outperforms the competitors in a variety of measurement metrics. The CNN Model has a test accuracy of 94.55 percent, making it a valuable decision support tool for farmers looking to classify citrus fruit/leaf diseases.

Highlights

Agriculture research aims to increase food production and quality while lowering costs and boosting profits [1]
We propose an integrated deep learning model for automated citrus fruit disease detection, based on the tremendous results of convolutional neural networks (CNNs)-based methods in image classification
The proposed CNN model (CNN-Citrus (10)) with two convolutional layers (), filter size = 2, number of filters = 16, and number of epochs = 8 performed better and achieved the best accuracy of 94.55%

Summary

Introduction

Agriculture research aims to increase food production and quality while lowering costs and boosting profits [1]. Fruit trees play an important role in any state’s economic development. One of the most well-known fruit plant species is the citrus plant, which is high in vitamin C and widely used in the Indian sub-Continent, the Middle East and Africa [2]. Citrus plants are associated with many health advantages, as well as being used as a raw material in the agricultural industry for the production of several types of other agri-products, including jams, sweets, ice cream, and confectionery, etc. Pakistan’s most important fruit crop, accounts for a significant portion of the country’s horticultural exports.

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