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Published August 24, 2023 | Version v1
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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

Images.zip

Files (10.8 GB)

Name Size
md5:3884d40e7eb84e72878c17b7aa7750db
657.3 kB Download
md5:73c0031e2ad2383fbdda1e313a890dc6
84.9 kB Download
md5:70369422ca92bdaa1f3cac470c34276a
1.1 MB Download
md5:e81c4390d378860ee19bd91ec5b0bfd6
10.8 GB Preview Download
md5:d2429439214b5525e345f8f89aec0d0f
14.0 MB Preview Download

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