Image segmentation in Diagnosing the Ground Bud Necrosis Virus in Tomatoes using K-Means Clustering
K. U. Kadam,
R. B. Dhumale,
N. R. Dhumale
et al.
Abstract:Early-stage fruit disease detection will ensure the natural product quality for the organic agriculture business. The potential of using K-Means segmentation for diagnosing tomatoes fruit disease was intended to be explored by this proposed method. The main goal of paper is to increase classification accuracy by locating tomatoes with Ground Bud Necrosis Virus in Tomatoes disease using an image segmentation approach. The K-means clustering algorithm is intended to boost segmentation effectiveness. In the end p… Show more
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