%0 Journal Article
%T Deep Learning Convolution Neural Network to Detect and Classify Tomato Plant Leaf Diseases
%A Thair A. Salih
%A Ahmed J. Ali
%A Mohammed N. Ahmed
%J Open Access Library Journal
%V 7
%N 5
%P 1-12
%@ 2333-9721
%D 2020
%I Open Access Library
%R 10.4236/oalib.1106296
%X The tomato crop is an important staple in the £¿market and it is one of the most common crops daily £¿consumed. Plant or crop diseases cause reduction of quality and quantity of the production; therefore detection and classification of these diseases are very necessary. There are many types of diseases that infect £¿tomato plant like (bacterial spot, late blight, sartorial leaf £¿spot, tomato mosaic and yellow curved). Early detection of plant diseases increases production and improves its quality. Currently, intelligent £¿approaches have been widely used to detect and classify these £¿diseases. This approach helps the farmers to identify the types£¿ of diseases that infect crop. The main object of the current work is £¿to apply a modern technique to identify and classify the £¿disease. Intelligent technique is based on using convolution £¿neural network (CNN) which is a part of machine learning to £¿obtain an early detection about the situation of plants. CNN £¿method depends on feature extraction (such as color, leaves £¿edge, etc.) from input image and on this basis the decision of £¿classification is done. A Matlab m-file has been used to build £¿the CNN structure. A dataset obtained from plant village has £¿been used for training the network (CNN). The suggested £¿neural network has been applied to classify six types of tomato £¿leaves situation (one healthy and five types of leave plant £¿diseases). The results show that the convolution neural £¿network (CNN) has achieved a classification accuracy £¿£¿of 96.43%. Real images are used to validate the ability of £¿suggested CNN technique for detection and classification, and obtained using a 5-megapixel camera from a real £¿farm because most common diseases which infect the planet are similar.
%K Convolution Neural Network (CNN)
%K Tomato Plant Leaf Diseases
%K Machine Learning
%K Early Detection
%U http://www.oalib.com/paper/5431733