A COMPARATIVE ANALYSIS OF TRADITIONAL MACHINE LEARNING AND DEEP LEARNING FOR EARLY DISEASE DETECTION FROM LEAF TEXTURES
The imperative for early and accurate detection of plant leaf diseases is paramount in safeguarding global food security and advancing precision agricultural practices. This review paper conducts a systematic comparative analysis of two predominant computational paradigms: Traditional Machine Learning (TML) and Deep Le...