Data

Swathing subterranean clover does not suck: a promising alternative to vacuum seed harvesting (data)

The University of Western Australia
Wiese, Ruby ; Ryan, Megan ; Nichols, Phillip ; Moss, Wesley ; Wintle, Brad ; Zago, Yvonne ; Hunt, Lee ; Hamblin, Ann ; Guzzomi, Andrew
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.26182/8jdp-qq18&rft.title=Swathing subterranean clover does not suck: a promising alternative to vacuum seed harvesting (data)&rft.identifier=10.26182/8jdp-qq18&rft.publisher=The University of Western Australia&rft.description=This dataset contains raw and some processed data supporting the journal article Swathing subterranean clover does not suck: a promising alternative to vacuum seed harvesting, submitted to Crop and Pasture Science for the Australian Grasslands Symposium 2025 Seeds of Change collection. &rft.creator=Wiese, Ruby &rft.creator=Ryan, Megan &rft.creator=Nichols, Phillip &rft.creator=Moss, Wesley &rft.creator=Wintle, Brad &rft.creator=Zago, Yvonne &rft.creator=Hunt, Lee &rft.creator=Hamblin, Ann &rft.creator=Guzzomi, Andrew &rft.date=2024&rft.relation=http://research-repository.uwa.edu.au/en/publications/5e958988-1882-4d63-89d9-940c7e346250&rft.coverage=115.66318,-33.55950&rft.coverage=115.66318,-33.55950&rft_rights=&rft_subject=Subterranean clover&rft_subject=seed harvesting&rft_subject=swathing&rft_subject=peanut digger&rft_subject=harvest efficiency&rft_subject=seed quality&rft.type=dataset&rft.language=English Access the data

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This dataset contains raw and some processed data supporting the journal article "Swathing subterranean clover does not suck: a promising alternative to vacuum seed harvesting", submitted to Crop and Pasture Science for the Australian Grasslands Symposium 2025 Seeds of Change collection.

Notes

Associated Persons
Yvonne Zago (Creator); Lee Hunt (Creator)

Created: 2022-11 to 2024-11

Issued: 2024

Data time period: 2022-11 to 2023-02

This dataset is part of a larger collection

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115.66318,-33.5595

115.66318,-33.5595

text: 115.66318,-33.55950

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