Published January 3, 2024 | Version v2
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A pulse crop dataset of agronomic traits and multispectral images from multiple environments

  • 1. Washington State University
  • 2. USDA-ARS

Description

The pulse dataset contains agronomic data for named cultivars and breeding lines of dry pea and chickpea, and over 275 multispectral images from advanced and preliminary breeding trials. The breeding trials were located at three locations in the “Palouse” region of Eastern Washington and Northern Idaho of the United States across 2017, 2018 and 2019 cropping seasons. The multispectral images were captured using a UAV flight integrated with a 5-band camera at multiple time points from early vegetative growth through pod development stages during each cropping season. This dataset details seed yield information from trials of dry peas and chickpea that were obtained from each location, as well as additional agronomic and phenological data recorded at one location (mostly Pullman, WA) for each cropping season. The dataset also includes 20-78 megabytes (MB) Tagged Image Format (TIF) uncalibrated stitched orthomosaic images generated from the photogrammetric software.

Files

Files (1.8 MB)

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md5:f282e53fe20745c9f8c75054529ef243
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md5:d36ccef02e579a314abb4f07fba8dbf1
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Additional details

References

  • C. Zhang, R. J. McGee, G. J. Vandemark, S. Sankaran, Crop performance evaluation of chickpea and dry pea breeding lines across seasons and locations using Phenomics data. Frontiers in Plant Science, 12, (2021). https://doi.org/10.3389/fpls.2021.640259
  • A. Marzougui, R.J McGee, S. Van Vleet and S. Sankaran, Remote sensing for field pea yield estimation: A study of multi-scale data fusion approaches in phenomics. Frontiers in Plant Science, 14, (2023). https://doi.org/10.3389/fpls.2023.1111575
  • K. Umani, C. Zhang, R.J. McGee, G.J. Vandemark, and S.Sankaran. A pulse crop dataset of agronomic traits and multispectral images from multiple environments. Data in Brief, 110013. https://doi.org/10.1016/j.dib.2023.110013