Bacterial Grain Rot Dataset

Burkholderia glumae bacteria causes bacterial grain rot in rice, a disease that poses significant threats to crop yield. The distinctive feature of this disease manifests on the grains of the rice plant prior to harvest. This poses several challenges in detecting and categorizing the disease on the rice panicles. Firstly, diseased rice grains may be interspersed with healthy ones. Secondly, the rice grains on the panicles exhibit varying sizes (from small to large when detected using object detection methods). Subsequently, disease classification can be conducted based on the extent of damage to the rice panicles to determine the level of yield loss. Lastly, the challenge lies in detecting, classifying, and preprocessing for disease detection and classification using various approaches in machine learning and deep learning to develop the best method to support smart agriculture.稻伯克霍尔德菌（Burkholderia glumae）可引发水稻细菌性谷枯病，该病害对作物产量构成显著威胁。该病害的典型特征可在水稻收获前于稻粒上显现，这为水稻穗部病害的检测与分类带来了多重挑战：其一，染病稻粒与健康稻粒往往混杂分布；其二，穗部稻粒尺寸存在差异（采用目标检测（object detection）方法开展识别时，其尺寸覆盖从小至大的区间）。后续可基于水稻穗部的受害程度开展病害分级，以此评估产量损失水平。最后，当前的核心挑战在于借助机器学习与深度学习的各类方法，完成病害检测与分类所需的检测、分类及预处理环节，从而开发出最优方案以支撑智慧农业发展。