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{ "item_title" : "Review on Plant Disease Detection Using Image Processing Techniques", "item_author" : [" S. Agnes Shifani", "G. Ramkumar "], "item_description" : "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.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/6/20/048/424/6200484244_b.jpg", "price_data" : { "retail_price" : "43.09", "online_price" : "43.09", "our_price" : "43.09", "club_price" : "43.09", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Review on Plant Disease Detection Using Image Processing Techniques|S. Agnes Shifani

Review on Plant Disease Detection Using Image Processing Techniques

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Overview

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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Details

  • ISBN-13: 9786200484246
  • ISBN-10: 6200484244
  • Publisher: LAP Lambert Academic Publishing
  • Publish Date: December 2019
  • Dimensions: 9 x 6 x 0.13 inches
  • Shipping Weight: 0.21 pounds
  • Page Count: 56

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