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Article

A Computational Procedure for the Recognition and Classification of Maize Leaf Diseases Out of Healthy Leaves Using Convolutional Neural Networks

School of Engineering, College of Science, Engineering & Technology, University of South Africa, Pretoria 0003, South Africa
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Received: 28 January 2019 / Revised: 6 March 2019 / Accepted: 8 March 2019 / Published: 13 March 2019
Plant leaf diseases can affect plant leaves to a certain extent that the plants can collapse and die completely. These diseases may drastically decrease the supply of vegetables and fruits to the market, and result in a low agricultural economy. In the literature, different laboratory methods of plant leaf disease detection have been used. These methods were time consuming and could not cover large areas for the detection of leaf diseases. This study infiltrates through the facilitated principles of the convolutional neural network (CNN) in order to model a network for image recognition and classification of these diseases. Neuroph was used to perform the training of a CNN network that recognised and classified images of the maize leaf diseases that were collected by use of a smart phone camera. A novel way of training and methodology was used to expedite a quick and easy implementation of the system in practice. The developed model was able to recognise three different types of maize leaf diseases out of healthy leaves. The northern corn leaf blight (Exserohilum), common rust (Puccinia sorghi) and gray leaf spot (Cercospora) diseases were chosen for this study as they affect most parts of Southern Africa’s maize fields. View Full-Text
Keywords: northern corn leaf blight (Exserohilum); gray leaf spot (Cercospora); common rust (Puccinia sorghi); convolutional neural network (CNN); Neuroph studio northern corn leaf blight (Exserohilum); gray leaf spot (Cercospora); common rust (Puccinia sorghi); convolutional neural network (CNN); Neuroph studio
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MDPI and ACS Style

Sibiya, M.; Sumbwanyambe, M. A Computational Procedure for the Recognition and Classification of Maize Leaf Diseases Out of Healthy Leaves Using Convolutional Neural Networks. AgriEngineering 2019, 1, 119-131. https://0-doi-org.brum.beds.ac.uk/10.3390/agriengineering1010009

AMA Style

Sibiya M, Sumbwanyambe M. A Computational Procedure for the Recognition and Classification of Maize Leaf Diseases Out of Healthy Leaves Using Convolutional Neural Networks. AgriEngineering. 2019; 1(1):119-131. https://0-doi-org.brum.beds.ac.uk/10.3390/agriengineering1010009

Chicago/Turabian Style

Sibiya, Malusi, and Mbuyu Sumbwanyambe. 2019. "A Computational Procedure for the Recognition and Classification of Maize Leaf Diseases Out of Healthy Leaves Using Convolutional Neural Networks" AgriEngineering 1, no. 1: 119-131. https://0-doi-org.brum.beds.ac.uk/10.3390/agriengineering1010009

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