Potato Leaf Disease Dataset in Uncontrolled Environment

Existing potato leaf datasets might not accurately reflect the real-world conditions of potato leaf diseases because of the controlled environment in which the images were captured and the lack of information on disease type, which only captures diseases caused by fungi. Therefore, we obtained new primary data that offers several advantages over previous datasets and will better represent the various types of diseases commonly found on the leaves of potato plants. Our proposed dataset was captured in an uncontrolled setting, resulting in a wide range of variables, including the background and diverse directions and distances of the images. The dataset includes several classes of potato leaf diseases caused by fungi, viruses, pests, bacteria, Phytophthora, nematodes, and healthy leaves. The introduction of this new dataset will facilitate a more accurate representation of potato leaf diseases and will allow for the advancement of current research on potato leaf disease identification.

Image size : 1500 x 1500 pixel
Data format : .jpg
Number of images : 3076 images
Category : bacteria, fungi, healthy, nematode, pest, phytophthora, and virus
Data source location : Central Java, Indonesia
How data were acquired : Captured from potato farms located in Central Java, Indonesia, using several smartphone cameras.

现有马铃薯叶片数据集多因图像采集于受控环境，且仅覆盖真菌引发的病害、缺乏病害类型相关标注信息，难以准确反映马铃薯叶片病害的真实发生场景。为此，本研究采集了新型原始数据，相较既往数据集具备多项优势，能够更精准地呈现马铃薯叶片上常见的各类病害类型。本研究所构建的数据集采集于非受控田间环境，因此图像涵盖了丰富的可变因素，包括多样的背景、拍摄角度与拍摄距离。本数据集涵盖多类马铃薯叶片病害类别，包括真菌、病毒、虫害、细菌、疫霉菌（Phytophthora）、线虫引发的病害以及健康叶片样本。该新型数据集的发布，将助力更精准地还原马铃薯叶片病害的真实分布情况，推动当前马铃薯叶片病害识别相关研究的发展。

图像尺寸：1500×1500像素
数据格式：.jpg格式
图像总数：3076张
类别划分：细菌病害、真菌病害、健康叶片、线虫病害、虫害、疫霉菌（Phytophthora）病害以及病毒病害
数据采集地点：印度尼西亚爪哇中部地区
数据采集方式：使用多款智能手机相机，于印度尼西亚爪哇中部地区的马铃薯种植农场实地拍摄采集。

搜集汇总

背景与挑战

背景概述

该数据集包含3076张在印度尼西亚中爪哇省非受控环境下拍摄的马铃薯叶片图像，涵盖细菌、真菌、健康叶片、线虫、害虫、疫霉菌和病毒7个类别。数据集特点是真实反映田间复杂环境，图像具有多样化背景和拍摄条件，可用于马铃薯叶片疾病识别研究。