Detection and Classification Disease Citrus Nobilis Lour Using Convolutional Neural Network Method

Citrus Nobilis Lour, sometimes known as Siamese oranges, is the primary fruit in many nations and one of the fruits with the highest commercial worth [1]. This study makes use of data from 2000 photos, 500 photos each classthat is, the class of leaves affected by cancer, the class of leaves affected by worm disease, the class of leaves affected by Citrus Vein Phloem Degeneration (CVPD), and the class of healthy leaves after which the VGG-16 model is trained to identify and categorize the illness. This study employs Adam optimization and Stochastic Gradient Descent (SGD) optimization with VGG-16. Three trials with SGD and two trials with Adam were included in the research. This research yielded train accuracy of 72% in 40 epochs using SGD optimization and 90% in 10 epochs using Adam optimization, along with a 54% classification accuracy.