Ruiz-Hurtado Andres Felipe, Espitia-Buitrago Paula, Hernandez Luis M, Jauregui Rosa N, Cardoso Juan Andres
International Center for Tropical Agriculture (CIAT), A.A. 6713, Cali, Colombia.
Data Brief. 2024 Aug 22;56:110857. doi: 10.1016/j.dib.2024.110857. eCollection 2024 Oct.
This dataset results from controlled experiments that assess the tolerance of spp. and grasses to nymphal and adult spittlebug damage, particularly from , which significantly impacts forage production in Neotropical regions. Data were collected under standardized conditions using high-throughput phenotyping methods, integrating image-capture techniques and analyses to ensure precise and consistent data acquisition. The dataset serves as a foundational resource for developing and validating computer vision models aimed at automated phenotyping, enabling accurate and high-throughput assessment of plant tolerance to spittlebug damage. Researchers can use the dataset to benchmark and compare different methodologies for plant damage assessment, fostering standardization and reproducibility in phenotyping studies.
该数据集来自对照实验，这些实验评估了 spp. 和禾本科植物对若虫和成虫沫蝉损害的耐受性，特别是来自 的损害，这对新热带地区的饲料生产有重大影响。数据是在标准化条件下使用高通量表型分析方法收集的，整合了图像捕获技术和分析，以确保精确和一致的数据采集。该数据集是开发和验证旨在进行自动表型分析的计算机视觉模型的基础资源，能够准确且高通量地评估植物对沫蝉损害的耐受性。研究人员可以使用该数据集对不同的植物损害评估方法进行基准测试和比较，促进表型研究的标准化和可重复性。
