Deep Learning Framework for the Automated Identification and Classification of Mango Disease, Pest and Healthy Conditions
A sequential CNN-based framework was developed for the automated identification and classification of mango leaf images into four classes: Sooty mould, powdery mildew, gall midge and healthy, confirming the model’s capability to distinguish between disease, pest and healthy conditions with minimal misclassification.