Proximally sensed RGB images and colour indices for distinguishing rice blast and brown spot diseases by k-means clustering: Towards a mobile application solution

Proximally sensed RGB images and colour indices for distinguishing rice blast and brown spot diseases by k-means clustering: Towards a mobile application solution

Rice blast (RB) and Brown spot (BS) are economically important diseases in rice that cause greater yield losses annually. Both share the same host and produce quite similar lesions, which leads to confusion in identification by farmers. Proper identification is essential for better management of the...

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Bibliographic Details
Main Authors: Suvanthini Terensan, Arachchige Surantha Ashan Salgadoe, Nisha Sulari Kottearachchi, O.V.D.S. Jagathpriya Weerasena
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Smart Agricultural Technology
Subjects:
Rice blast
Brown spot
Digital imaging
K-means clustering
RGB images
Proximal sensing
Online Access:http://www.sciencedirect.com/science/article/pii/S2772375524001370
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