Classification of Aloe Vera Leaf Diseases Using Deep Learning

Around the world, aloe vera is grown for both agricultural and therapeutic purposes, making it one of the most popular herbal treatments for topical skin diseases. Although aloe vera is unique in terms of providing nutrients and treating diseases, we fail to protect the leaves from bacteria, which significantly harms farms throughout the world. Identification of the foliar disease is critical because of the serious degree of damage. Aloe leaf infections were categorized using a number of deep learning methods, including VGG19, EfficientNetB5, EfficientNetB6, and EfficientNetB7. Using a smartphone camera, 2770 distinct images of aloe plants with two illnesses were included in the dataset (leaf spot and aloe rust). K-means clustering and histogram equalization were then used to preprocess the data. Finally, EfficientNetB7 outperformed the other experimented methods with a maximum accuracy of 94.11% on a total of 170 images from an unseen test set.