Sugarcane Diseases

The sugarcane disease dataset was developed to facilitate automated detection and classification of major diseases affecting sugarcane crops using deep learning and computer vision techniques. The dataset consists of high-resolution RGB images collected directly from farmers’ fields under natural environmental conditions, ensuring real-world variability in illumination, background, leaf orientation, and disease severity.本甘蔗病害数据集旨在依托深度学习与计算机视觉技术，实现甘蔗作物主要病害的自动化检测与分类。该数据集包含在自然环境条件下直接从农户田间采集的高分辨率RGB图像，可确保样本涵盖光照、背景、叶片朝向以及病害严重程度等真实场景下的各类变异情况。