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Support Vector Machine recognition

Support Vector Machine recognition

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Fig. 1. Potato Leaf Sample data
Fig. 2. Flowchart for Leaf Disease Recognition Figure 1 shows the flow...
Fig. 3. Support Vector Machine recognition
Fig. 4. CNN MODEL
+6 Fig. 5. Detecting Vertical edges
Identification of potato leaf diseases using hybrid convolution neural network with support vector machine
Conference Paper
Full-text available
  • Dec 2022
Agriculture has long been a vital source of sustenance. More over 60% of the world’s population relies mostly on agricultural sources for food, according to linked statistics. Plant infections, however, are a catastrophic issue that seriously hampers agriculture productivity. Plant diseases cause a loss of agriculture productivity of about 25% per...
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... is a class of deep neural networks. The CNN model comprises an input layer, convolution layer, pooling layer, a fully connected layer, and an output layer shown in Fig. 3. To classify the disease in plants in a precise manner the images are provided as input. The convolution layer is used for extracting the features from the images. The pooling layer computes the feature values from the extracted features. Depending on the complexity of images, the convolution and pooling layer can be further increased ...

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Fig. 1. Potato Leaf Sample data
Fig. 2. Flowchart for Leaf Disease Recognition Fig. 1 shows the flow...
Fig. 3. Support Vector Machine recognition
Fig. 6. The summary of proposed Convolution Neural Network
+1 Fig. 7. Residual Networks (ResNet50)
Identification of Potato Leaf Diseases Using Hybrid Convolution Neural Network with Support Vector Machine
Chapter
Full-text available
  • Jul 2023
Agriculture has long been a vital source of sustenance. More over 60% of the world’s population relies mostly on agricultural sources for food, according to linked statistics. Plant infections, however, are a catastrophic issue that seriously hampers agriculture productivity. Plant diseases cause a loss of agriculture productivity of about 25% per...
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