Identification of Banana Disease Using Color and Texture Feature
| Autor: | Manoj P. Patil, Vandana Chaudhari |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
biology
Computer science business.industry Pattern recognition Image processing Texture (music) biology.organism_classification Identification (information) Feature (computer vision) Classifier (linguistics) Digital image processing Principal component analysis Banana streak virus Artificial intelligence business |
| Zdroj: | Communications in Computer and Information Science ISBN: 9789811604928 RTIP2R (2) |
| DOI: | 10.1007/978-981-16-0493-5_21 |
| Popis: | Plant diseases have grown-up in agriculture to be an impasse as it can cause dwindling in both quantity and quality of farming yield. This work explains a simple and adept method used to recognize leaf diseases by applying digital image processing and machine learning technology. In this study 24 color feature, 12 shape and 4 texture features were obtained from images of four kinds of diseases like, Sigatoka, Panama Wilt, Bunchy Top and Banana Streak Virus diseases. Principal component analysis (PCA) was achieved for reducing dimensions in features extracted and k-nearest neighbour classifiers used to identify banana diseases. The finest result was obtained when image identification was conducted based on PCA with K-nearest neighbour classifier. |
| Databáze: | OpenAIRE |
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