Volume 18, No. 6, 2021

Cotton Leaf Disease Detection Using Image Processing


Sankarsan Panda , Dr. Vikas Somani

Abstract

As a cash crop, cotton is the most important in India. Other than "White Gold," it's referred to among cash crops in the United States as "The King of Fibers". Cotton leaf diseases include Alternaria leaf spot, Cercospora leaf spot, Bacterial Blight, and Red spot. Cotton leaf disease detection and categorization are discussed in this article. Human eyes have difficulty identifying the specific kind of leaf disease that affects a plant's leaf. For a more accurate diagnosis of cotton leaf diseases, image processing and machine learning technologies may be helpful. Using a digital camera, I took images of a cotton field for this assignment. In the preprocessing stage, the backdrop is removed from the image using a background removal technique. Image segmentation is performed using the otsu thresholding method on images that have been cleaned of their backgrounds. Different segmented photos will be used to extract attributes such as color, form, and texture from the photographs. Classifiers will use them in the future to classify data.


Pages: 3786-3798

Keywords: Leaf diseases; Image pre-processing; Image segmentation; Otsu’s thresholding; Support Vector Machine (SVM).

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