Integration of CNN and Random Forest Classifier for Detecting Tomato Diseases
This work proposes Convolutional Neural Network with random forest (RF) (CNN-RF) trained on a single plant which is tomato, which aims to solve the problem by using CNN and Random forest classifier to leverage machine learning algorithms trained on extensive datasets of tomato leaves to identify symptoms and patterns i...