PlantDiseases Dataset for Edge - AI Based Real - Time Plant Disease Recognition

The PlantDiseases dataset is constructed for edge - AI based real - time plant disease recognition. It encompasses 28 distinct disease types across 16 plant species, totaling 46 diagnostic categories. The dataset contains 240,211 preprocessed and augmented images, collected under varying environmental conditions using different imaging devices and from multiple perspectives. It provides essential data support for algorithm research in edge - computing scenarios for plant disease recognitionPlantDiseases植物病害数据集专为基于边缘人工智能（Edge AI）的实时植物病害识别任务构建。该数据集涵盖16种植物的28种不同病害类型，共计46个诊断类别。数据集包含240211张经过预处理与数据增强的图像，这些图像在多变环境条件下、采用不同成像设备并从多视角采集获得。本数据集可为植物病害识别边缘计算场景下的算法研究提供必要的数据支撑。