Description

The artificial intelligence in this application project combines three advanced deep learning models: DenseNet121, InceptionV3, and VGG16, enabling it to detect seven types of coffee plant diseases, including coffee leaf rust (CLR), Brown Spot Lesion (BSL), Sooty Molds (SM), Crescospora Leaf Spot (CLS), Phoma Leaf Miner (CLF), and Red Spider Mites (RSM), with an accuracy of over 97%. This model has been trained on thousands of images from various datasets with diverse environmental conditions and backgrounds, ensuring that it does not experience overfitting.