Review on Plant Disease Detection Using Image Processing Techniques, S Agnes Shifani,G Ramkumar (9786200484246) — Readings Books

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Review on Plant Disease Detection Using Image Processing Techniques
Paperback

Review on Plant Disease Detection Using Image Processing Techniques

$59.99
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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.

The book reviews the concept of various digital image processing techniques used for the detection of plant diseases. Disease detection involves steps like image acquisition, image pre-processing, image segmentation, feature extraction, and classification. Feature extraction brief about Texture features, Color features, Shape features and in classification section it discusses the following classifiers like Artificial Neural Networks, Back Propagation Neural Network, Support Vector Machine, Fuzzy Classifier, Color analysis, K-Nearest Neighbor.

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MORE INFO
Format
Paperback
Publisher
LAP Lambert Academic Publishing
Date
13 December 2019
Pages
56
ISBN
9786200484246

This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.

The book reviews the concept of various digital image processing techniques used for the detection of plant diseases. Disease detection involves steps like image acquisition, image pre-processing, image segmentation, feature extraction, and classification. Feature extraction brief about Texture features, Color features, Shape features and in classification section it discusses the following classifiers like Artificial Neural Networks, Back Propagation Neural Network, Support Vector Machine, Fuzzy Classifier, Color analysis, K-Nearest Neighbor.

Read More
Format
Paperback
Publisher
LAP Lambert Academic Publishing
Date
13 December 2019
Pages
56
ISBN
9786200484246