Cucumber disease detection using adaptively regularised kernel-based fuzzy C-means and probabilistic neural network
by M.G. Jayanthi; Dandinashivara Revanna Shashikumar
International Journal of Computational Vision and Robotics (IJCVR), Vol. 10, No. 5, 2020

Abstract: India is an agricultural country. The major position of India depends on agriculture. But due to diseases in leaves, there is a great loss to farmers. To avoid this problem, automatic disease detection of cucumber disease is proposed. The proposed methodology consists of three modules namely, segmentation, feature extraction cucumber disease detection. Initially, the cucumber diseases are segmented using adaptively regularised kernel-based fuzzy C-means (ARKFCM). Once the disease is segmented, the colour features are extracted using hue, saturation and value (HSV) technique and texture features are extracted using grey level co-occurrence matrix (GLCM) technique. After the feature extraction process, the extracted features are given to probabilistic neural network (PNN) to recognise the image as anthracnose, downy mildew and grey mould. Finally, the experimental results demonstrate that our method is efficient and powerful to recognise the cucumber diseased image and its performance is analysed in terms of accuracy, sensitivity and specificity.

Online publication date: Tue, 08-Sep-2020

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Computational Vision and Robotics (IJCVR):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com