Segmentation Base Advance Approach for Detect and Classify Leaf Diseases

A Novel Approach for Leaf Disease Detection and Classification

Authors

  • Ronak A. Chauhan Author
  • Mayuri Prajapati Author

Keywords:

segmentation, advance approach, detect, classify, leaf diseases, leaf identification, leaf individually, agricultural application, leaf skeletons, grapes image, positions, directions, retrieval, machine learning, result analysis parameters

Abstract

The most challenging process in agricultural application is id identification of leaf individually. In this paper, the classification of leaf diseases is proposed along with the leaf identification of leaf identification, initially, the leaf skeletons are identified based on grapes image. Since, the leaf skeletons are used for estimating the positions and directions of the leaves. Using advance segmentation algorithm is proposed for retrieval of skeletons and identify diseases. If diseases will detected that using machine learning approach for classify types of diseases work on other result analysis parameters for classify type.

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Published

2019-04-01

How to Cite

[1]
“Segmentation Base Advance Approach for Detect and Classify Leaf Diseases: A Novel Approach for Leaf Disease Detection and Classification”, JASRAE, vol. 16, no. 5, pp. 21–27, Apr. 2019, Accessed: Jan. 20, 2026. [Online]. Available: https://ignited.in/index.php/jasrae/article/view/10864