Abstract: Sugarcane plays a pivotal role worldwide as a primary source of sugar and ethanol. However, the sugar industry faces significant challenges, particularly from sugarcane diseases, which can lead to the eradication of crops if not promptly treated. This poses a considerable financial risk for small-scale farmers. The motivation behind the study was the increasing prevalence of these diseases and the lack of knowledge among farmers in identifying and managing them. To address this issue, the study employed machine learning, specifically computer vision using deep learning......
Keywords: Deep Learning, Convolutional Neural Networks (CNN), sugarcane leaf disease recognition, image classification
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