AUTOMATIC PLANT LEAF DISEASE DETECTION USING DEEP LEARNING WITH CONVOLUTIONAL NEURAL NETWORKS

Abstract

Detection of plant leaf diseases is crucial in agriculture, leveraging advanced imaging techniques and deep learning. Deep learning is predominantly used in computer vision, text analysis, speech recognition, pattern recognition, and autonomous vehicles, among other applications. Past studies utilized the Plant Village dataset to recognize various plant varieties and detect diseases, capturing images as the primary mode of diagnosis. Commonly identified diseases include Black spot, Powdery mildew, Blight, Apple scab, Rust, Curly Top, Mosaic, and Spotted Wilt, among others