The significance of a monograph titled "Machine Learning for Disease Identification in Oil Palm Leaves" is underscored by the background information provided. This book serves as a comprehensive exploration of the utilization of machine learning technology in the precise identification of diseases in oil palm leaves, encompassing images with diverse and intricate backgrounds. The book delves into the intricacies of this method, elucidating how it operates in the automated differentiation of healthy and diseased oil palm plants based on their leaves. The process of identifying leaf diseases in oil palm plants, meticulously detailed within these pages, encompasses several pivotal stages. These include the detection of Regions of Interest (RoI), essential pre-processing steps, feature extraction, judicious feature selection, and classification techniques. In essence, this monograph fills a critical knowledge gap, offering a deep dive into the innovative world of machine learning for disease detection in oil palm leaves. It stands as an indispensable resource for researchers, practitioners, and enthusiasts in the field, providing invaluable insights into cutting-edge technology applied to agriculture and plant health.