Statistical Texture and Normalized Discrete Cosine Transform-Based Automatic Soya Plant Foliar Infection Cataloguing
Sourabh Shrivastava, Satish Kumar Singh, Dhara Singh Hooda
Journal of Advances in Mathematics and Computer Science · pp. 2901–2916 · Published 29 Jul 2014
10.9734/BJMCS/2014/11973Abstract
Soya beans are an important cash-crop, grown worldwide because of their use as a raw material in various industries involved in the production of sauces, mayonnaises, chocolates, baby-food, bakery, etc. Soya bean products are not only consumed by humans, but by pets too. They are also used as an alternative to fossil fuel in the form of bio-diesel. The research work presented in this paper highlights the problems associated with soya bean cultivation, and the reasons for yield loss in developing countries like India, China and others. In this paper, the colour image sensing and processing based infected lesion detection method is proposed. Structural texture and normalized DCT-based feature descriptors for refined lesion histograms have been developed. Hybrid feature descriptors have been used as the input samples for four major soya plant foliar infections. The classification and testing accuracies are quite encouraging, and are above 89.9% and 92.3% respectively. Also, the results have been compared for only ST, ST-DCT, and ST-NDCT feature-based methods, and the use of ST-NDCT descriptors in cataloguing systems is suggested. Moreover, the method can classify four diseases, which creates confusion because of similar colour shades, and irregular and random shapes and sizes of lesions.
References (22)
- 1 Food and Agriculture Organization of the United Nations [DOI]
- 2 Digital Image Processing [DOI]
- 3 2D-LDA: A statistical linear discriminant analysis for image matrix [DOI]
- 4 Sensing technologies for precision specialty crop production [DOI]
- 5 Texture measurement approaches in fresh and processed foods — A review [DOI]
- 6 Detection and Classification of Apple Fruit Diseases Using Complete Local Binary Patterns [DOI]
- 7 Grading Method of Leaf Spot Disease Based on Image Processing [DOI]
- 8 Adapted Approach for Fruit Disease Identification using Images [DOI]
- 9 Robust Approach for Fruit and Vegetable Classification [DOI]
- 10 Adapted Approach for Fruit Disease Identification using Images [DOI]
- 11 Species and variety detection of fruits and vegetables from images [DOI]
- 12 Soybean Rust Development and the Quantitative Relationship Between Rust Severity and Soybean Yield [DOI]
- 13 Frogeye Leaf Spot of Soybean: A Review and Proposed Race Designations for Isolates of Cercospora sojina Hara [DOI]
- 14 Color sensing and image processing-based automatic soybean plant foliar disease severity detection and estimation [DOI]
- 15 Detection of soybean rust using a multispectral image sensor [DOI]
- 16 Using foliar fungicides to manage soybean rust
- 17 Automatic classification of non-touching cereal grains in digital images using limited morphological and color features [DOI]
- 18 Soybean Production Field Guide for North Dakota and Northwestern Minnesota
- 19 Novel adaptive color space transform and application to image compression [DOI]
- 20 Brown Spot Severity and Yield of Soybeans Regenerated from Calli Resistant to a Host-Specific Pathotoxin Produced bySeptoria glycines [DOI]
- 21 Information Science and Management Engineering [DOI]
- 22 Frogeye Leaf Spot of Soybean [DOI]
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Showing 7 of 18 known citations — external sources report more than can currently be individually listed.
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