EcoCropsAID: Thailand’s Economic Crops Aerial Image Dataset

Thailand’s Economic Crops Aerial Image Dataset (EcoCropsAID) We introduce the novel Economic Crops Aerial Image Dataset, named the EcoCropsAID dataset. This dataset was collected in Thailand and consists of aerial images of five key economic crops cultivated in different provinces and regions between 2014 and 2018. The dataset was compiled based on data from Agri-Map Online, a tool provided by the Ministry of Agriculture and Cooperatives and the National Electronics and Computer Technology Center (NECTEC). Agri-Map Online is an agricultural mapping system widely used by departments under the Ministry of Agriculture and Cooperatives for agricultural management. It ensures that the agricultural information is accurate and up-to-date. The Google Earth application was subsequently employed to capture aerial images of the selected economic crop areas. The dataset is complex, as the Google Earth program utilizes various remote imaging sensors to capture the aerial images. The EcoCropsAID dataset includes five categories (rice, sugarcane, cassava, rubber, and longan), containing a total of 5,400 images, with each class comprising approximately 1,000 images. The aerial images were captured at a resolution of 600 × 600 pixels and stored in RGB color format. The challenges associated with classifying the EcoCropsAID dataset include: 1) the presence of varying image resolutions and colors due to the different remote imaging sensors used, 2) the similarity of patterns among certain classes, such as longan and rubber, and 3) the differences in patterns within the same class, such as cassava and rice.泰国经济作物航拍图像数据集（EcoCropsAID） 本文提出一种新型经济作物航拍图像数据集，命名为EcoCropsAID数据集。该数据集采集自泰国，包含2014年至2018年间泰国不同省份与地区种植的五种核心经济作物的航拍图像。本数据集基于农业与合作社部（Ministry of Agriculture and Cooperatives）及国家电子与计算机技术中心（National Electronics and Computer Technology Center，缩写NECTEC）提供的Agri-Map Online工具的数据进行构建。Agri-Map Online是一套农业测绘系统，被农业与合作社部下属各部门广泛应用于农业管理工作，可保障农业信息的准确性与时效性。后续通过谷歌地球（Google Earth）软件采集选定经济作物种植区域的航拍图像。由于谷歌地球程序采用多种遥感成像传感器进行图像采集，本数据集具有一定复杂性。 EcoCropsAID数据集共包含5个类别，分别为水稻、甘蔗、木薯、橡胶树与龙眼，总计5400张图像，每个类别约含1000张图像。该航拍图像的采集分辨率为600×600像素，以RGB色彩格式存储。 EcoCropsAID数据集在分类任务中存在以下挑战：1）因使用不同遥感成像传感器，导致图像分辨率与色彩存在差异；2）部分类别（如龙眼与橡胶树）的图像纹理特征相似；3）同一类别（如木薯与水稻）内部存在纹理特征差异。

搜集汇总

背景与挑战

背景概述

EcoCropsAID是一个泰国经济作物航空图像数据集，包含2014年至2018年间采集的水稻、甘蔗、木薯、橡胶和龙眼五类作物图像，总计5,400张，每张分辨率为600×600像素并存储为RGB格式。数据集基于Agri-Map Online和Google Earth工具构建，具有权威性，但分类挑战包括图像分辨率和颜色差异、类别间模式相似性以及类别内模式差异。