农作物病害图像数据集

数据集包含48种农作物的700种病害及缺素的图像数据，具体包括小麦病害图像数据集26种，图像数据样本库5200张；水稻病害图像数据集21种，图像数据样本库4200张；苹果病害图像数据集23种，图像数据样本库4600张；马铃薯病害图像数据集15种，图像数据样本库3000张；辣椒病害图像数据集17种，图像数据样本库3400张；黄瓜病害图像数据集15种，图像数据样本库3000张；等其他病害数据集。根据以上数据，通过模型训练分析，获得新模型用来诊断农业病虫害，比如番茄叶子有黄斑是什么病害等等

This dataset comprises image data of 700 categories of diseases and nutrient deficiencies across 48 crop species. Specifically, it includes 26 types of wheat diseases with 5200 image samples, 21 types of rice diseases with 4200 image samples, 23 types of apple diseases with 4600 image samples, 15 types of potato diseases with 3000 image samples, 17 types of chili pepper diseases with 3400 image samples, 15 types of cucumber diseases with 3000 image samples, as well as other disease-related datasets. Based on this dataset, new models for diagnosing agricultural pests and diseases can be developed via model training and analysis, such as identifying the specific disease causing yellow spots on tomato leaves.

搜集汇总

数据集介绍

特点

该数据集包含48种农作物的700种病害及缺素的图像数据，涵盖小麦、水稻、苹果等多种作物，主要用于基于AI的图像识别诊断，为农业相关用户提供病害识别和防治的辅助工具。