AUAV Images of Peanut Field
收藏arXiv2025-09-30 收录
下载链接：
https://github.com/quinngroup/addf_pomdp
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资源简介：
该数据集包含了在生长季节的几周内，由空中无人机拍摄的用于监测和识别花生田中压力区域的图像集合。这些图像采用了归一化植被指数（NDVI）进行索引，其分辨率达到每像素1至3厘米，每张图像的大小大约为20兆字节。在几周的时间里，共收集了5张图像。该数据集的任务是对图像进行分割，以便识别作物压力。
This dataset comprises a set of images captured by an aerial drone over several weeks during the growing season, which are utilized for monitoring and identifying stress areas in peanut fields. These images are indexed using the Normalized Difference Vegetation Index (NDVI), with a resolution of 1 to 3 centimeters per pixel, and each image has an approximate size of 20 megabytes. A total of 5 images were collected across these several weeks. The task of this dataset is image segmentation for identifying crop stress.
提供机构：
Department of Entomology, University of Georgia
