Plant Stem Disease Detection using Deep Learning

In recent years, advancements in machine learning have revolutionized the field of plant biology and agriculture, particularly in the automated classification of plant stems and the identification of associated diseases. Among the various machine learning techniques, Support Vector Machines (SVMs) and Convolutional Neural Networks (CNNs) have emerged as prominent tools for handling complex image-based classification tasks[1].