Abstract- Plant diseases threaten agricultural productivity and food security. Early detection and management of leaf diseases are crucial for minimizing crop losses. We propose an automated machine learning and image processing approach for leaf disease detection. We collected a comprehensive dataset of plant leaf images and pre-processed it to enhance image quality and extract relevant features. We then trained and classified the leaf images into different disease categories using machine-learning algorithms, including CNNs and SVMs...

| DOI: 10.17148/IARJSET.2023.10597