Cherry Tree Disease Detection Dataset

This cherry tree disease detection dataset is a multimodal, multi-angle dataset which was constructed for monitoring the growth of cherry trees, including stress analysis and prediction. The dataset incorporates three major data source levels. First, it provides images of cherry trees in five different lifecycle stages (five different data collection dates within the cultivation period in a year). Next, the dataset includes RGB and multispectral images of the same trees. These images are supplementary annotated with different stages of a common disease known as Armillaria [1][2]. The annotation of the images was done both on the RGB and multispectral data by two agronomist experts. Finally, the dataset contains aerial photos of the same cherry tree cultivation and the same collection dates, captured by Unmanned Aerial Vehicles (UAVs), providing such a holistic view of the crop.

本樱桃树病害检测数据集为多模态多角度数据集，专为樱桃树生长监测构建，涵盖胁迫分析与生长预测任务。该数据集包含三大类数据源：其一，提供处于五个不同生长周期阶段的樱桃树图像（对应一年种植周期内的五个不同数据采集日期）；其二，包含同一樱桃树的RGB与多光谱图像，这些图像附带针对一种常见病害——密环菌（Armillaria）不同发病阶段的标注信息[1][2]，该标注工作由两位农学家分别针对RGB数据与多光谱数据完成；其三，包含由无人机（Unmanned Aerial Vehicles, UAVs）在相同采集日期下拍摄的同一樱桃种植园的航拍影像，可呈现该作物种植园的全局全貌。

搜集汇总

背景与挑战

背景概述

该数据集是一个多模态的樱桃树疾病检测数据集，包含无人机航拍、地面RGB和多光谱图像，用于监测樱桃树生长和病害情况。数据集由专家标注，重点关注Armillaria病害，分为四个疾病阶段，覆盖了577棵樱桃树在一个完整生长季节的数据。