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. An orchard of cherry trees is considered in the area of Western Macedonia, where 577 cherry trees were recorded in a full crop season starting from Jul. 2021 to Jul. 2022. The dataset includes a) aerial / Unmanned Aerial Vehicle (UAV) images, b) ground RGB images/photos, and c) ground multispectral images/photos. Two agronomist experts annotated the dataset by identifying a stress, which in this case is a common disease in cherry trees known as Armillaria.

本樱桃树病害检测数据集系多模态、多角度数据集，旨在监测樱桃树的生长状况，包括应力分析和预测。数据集选取了位于马其顿西部地区的果园作为研究区域，记录了577棵樱桃树在2021年7月至2022年7月整个产季的生长情况。该数据集包含以下内容：a) 无人机（UAV）航拍图像，b) 地面RGB图像/照片，以及c) 地面多光谱图像/照片。两位农业专家通过对樱桃树常见病害——臂霉菌病的识别，对数据集进行了标注。

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，记录了577棵樱桃树在一年生长周期中的健康状况，并由专家标注了Armillaria疾病的四个感染阶段。数据集适用于农业监测、疾病预测和机器学习研究。