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2018 | OriginalPaper | Buchkapitel

Mango Leaf Unhealthy Region Detection and Classification

verfasst von : K. Srunitha, D. Bharathi

Erschienen in: Computational Vision and Bio Inspired Computing

Verlag: Springer International Publishing

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Abstract

Diseases in any plant decrease the productivity and quality of product. Identification of plant leaf diseases by naked human eye is very difficult. Image processing techniques can identify the diseased leaf by preprocessing and classifying leaf unhealthy regions. This paper delivers an implementation on Mango leaf unhealthy region detection and classification. In the Proposed work Multiclass SVM is used for diseases classification and segmentation through k-means. The experimental results show the effectiveness of the proposed method in recognizing the diseases affected mango leaf.

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Metadaten
Titel
Mango Leaf Unhealthy Region Detection and Classification
verfasst von
K. Srunitha
D. Bharathi
Copyright-Jahr
2018
DOI
https://doi.org/10.1007/978-3-319-71767-8_35

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