Author: haroonkhan
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K-nearest neighbor (KNN) classifier
KNN is one of the most used classification model which is based on analog learning. Here in this method a comparison is done between the training and the testing tuples for finding the similarity. The input to the classifier consists of k-training samples in the feature set. The output of the KNN classifier is a…
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Support vector machine
Among all, neural network–based SVM is one of the most powerful and efficient feed-forward neural networks used for classification and regression problem. It can be used for both linear and nonlinear data classification. It is basically a binary classifier where a nonlinear mapping is considered for transforming the original training data into a higher dimension.…
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Neural network
An artificial neural network (ANN) is a generalized mathematical model which is based on biological nervous systems. The fundamental elements of neural networks are artificial neurons. Input, output and hidden are three basic layers of a simple neural network as presented in Figure 13.7. In feed-forward networks, the data flows from input to output units, firmly…
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Disease detection methods
With the help of features extracted earlier, a machine or deep learning based classifier can classify the diseases in tomato plants and an early disease predicator will predict the disease.
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Feature extraction
This is the most remarkable step of image processing which helps in dimensional reduction of the image and gives us a compact feature image so that further classification becomes easier for the classifiers (Sankaran et al., 2010). In this paper, following methods have been adopted to explore images: colored histogram and Haar wavelets. The extracted features are…
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Image pre-processing
This process is used to resize the captured images from high to low resolution. Each captured image needs to have a definite length so that it could be analyzed consequently. This intermediate process is necessary to explore accurate statistical characteristic features of the tomato leaves.
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Image acquisition
In this paper, direct image acquisition process was not adopted. The image datasets have been taken from Plant Village Dataset for analysis and evaluation.
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Methodology
For our evaluation (Sankaran, Mishra, Ehsani, & Davis, 2010) as on this, we concentrated only on one plant, tomato. Thus, distinct diseases display exceptional variations, which include shade, shape and illumination in light. In this paper, images have been taken to pick out diseases based on the signs that differentiate one plant from another (Kannan,…
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Yellow leaf curl virus
Tomato yellow leaf curl is an ailment of tomato plant specifically as a result of a pandemic named tomato yellow leaf curl virus. An infected flower shows the stunted and upright plant growth. Plants are inflamed at an early duration of growth and show severe stunting as shown in Figure 13.4.
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Target spot
Target spot, or simply we can say early blight, is one of the most common diseases found in the potatoes and tomatoes. It is caused by alternariasolani which is a fungus. It originates as small circles to oval dark brown spots. These spots first enlarge then become oval to angular in shape. During favorable conditions,…