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A pulse crop dataset of agronomic traits and multispectral images from multiple environments

Authors: Chongyuan Zhang; Kingsley Umani; Rebecca J. McGee; George J. Vandemark; Sindhuja Sankaran;

A pulse crop dataset of agronomic traits and multispectral images from multiple environments

Abstract

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.

{"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"]}

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Keywords

Seed yield, chickpea, pea, orthomosaic images, drone

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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