Tolerance to spittlebugs (Hemiptera: Cercopidae) in Urochloa spp. and Megathyrsus maximus grasses

This dataset comprises 8,318 images including Urochloa spp. and Megathyrsus maximus experimental units. The dataset is a resource for validating the current plant damage quantification technique for repeatability, and for training machine learning algorithms to identify, classify or quantify plant damage caused by biotic and abiotic stress with similar symptoms.&lt;br&gt;&lt;br&gt; Methodology: These data were obtained from the assessment of 8 populations of the Urochloa and Megathyrsus maximus breeding programs in 15 no-choice tests. Each test had a row and column number to analyze the statistical data as a spatial design. The images were acquired prior to the infestation, and 35 days after the infestation for nymphs and prior to the infestation, 7 days after the infestation and 14 days after the infestations for adults. Each experimental unit was placed in a white, enclosed chamber (dimensions: 1x1x1 m), with a strip of LED day white lights (6000 k) for consistent illumination. Images were captured using a Canon 90D and a NIKON D7500 reflex cameras with the following set up: manual mode, focus mode AF-A single point, white balance set to 0.0 in the fluorescent mode, ISO speed set to 100, shutter speed set to 1/50s, and aperture set to 5.6. The images included in the dataset are in JPEG format, the metadata for each image was compiled in a table after assessing the resistance to damage through visual and image-processing based methods. The files were organized in a folder-based image classification format (sometimes known as ImageNet) compatible with the one required by computer vision classification models.本数据集包含8318张图像，涵盖臂形草属（Urochloa）多种植物与大黍（Megathyrsus maximus）的试验单元。本数据集可用于验证当前具备可重复性的植物损伤量化技术，同时可作为训练机器学习算法的资源，以识别、分类或量化由具有相似症状的生物胁迫与非生物胁迫引发的植物损伤。<br><br>方法学：本数据集源自15项无选择试验中，对8个臂形草属与大黍育种群体的评估工作。每项试验均设置行号与列号，以便采用空间设计开展统计数据分析。若虫的图像采集分别在侵染前与侵染后35天完成；成虫的图像采集则分别在侵染前、侵染后7天及侵染后14天完成。每个试验单元均被放置于尺寸为1×1×1米的白色密闭舱内，并配备一条6000K的LED日光白光条，以保证光照条件的一致性。图像采集采用佳能90D与尼康D7500单反相机，拍摄参数设置如下：手动拍摄模式、AF-A单点对焦模式、荧光白平衡模式下白平衡设为0.0、ISO感光度设为100、快门速度设为1/50秒、光圈设为f/5.6。本数据集内的图像均采用JPEG格式存储；通过人工目视与图像处理方法开展损伤抗性评估后，已将每张图像的元数据整理至表格中。文件采用基于文件夹的图像分类格式（即常称的ImageNet格式）进行组织，可兼容计算机视觉分类模型所需的输入格式。

搜集汇总

背景与挑战

背景概述

该数据集包含8,318张Urochloa spp.和Megathyrsus maximus草类的实验单元图像，旨在评估植物对spittlebugs（沫蝉）的耐受性。数据集通过标准化方法采集，包括在侵染前后不同时间点拍摄的高质量图像，并配有详细元数据，主要用于验证植物损伤量化技术的可重复性，以及训练机器学习算法以识别和分类由生物或非生物胁迫引起的植物损伤症状。