Data

SMART Farms Pasture Sampling Data

University of New England, Australia
Schneider, Derek
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25952/jqy8-3a89&rft.title=SMART Farms Pasture Sampling Data&rft.identifier=10.25952/jqy8-3a89&rft.publisher=University of New England, Australia&rft.description=This data set contains the results from pasture sampling campaigns performed on the UNE SMART Farms. Monthly sampling began in December 2018 and is ongoing, as of February 2021. Sampling is designed to generate data suitable for building and validating pasture monitoring models and algorithms utilising optical remote sensing and proximally sensed pasture monitoring platforms. On each sampling date up to 10 locations are chosen and 3 replicate samples are taken at each site. Sites are chosen that are relatively uniform in nature. Replicates are chosen which act to describe the general area, we perform a cut at a location that visual appears average for the surrounding ~100m2, slightly above average and slightly below average. This allows for correlation with satellite data of multiple spatial resolution. The data set includes objective NDVI data taken with a Holland Scientific ACS211 CropCircle, pasture height information and an estimate of green percentage, along with subjective visual estimates of pasture parameters which correspond to each physical pasture cut. Access and further information about the dataset can be obtained by contacting the dataset creator.&rft.creator=Schneider, Derek &rft.date=2021&rft.coverage=151.59032730102535,-30.43422092679961; 151.58979321899469,-30.467356827806153; 151.6979398045628,-30.467691079535552; 151.69700525689407,-30.39652843057612; 151.5907945748536,-30.39587441263716&rft_rights=Attribution-NonCommercial-NoDerivatives 4.0 International&rft_rights=http://creativecommons.org/licenses/by-nc-nd/4.0/&rft_rights=Rights holder: Derek Schneider&rft_rights=Rights holder: Derek Schneider&rft_rights=Rights holder: Derek Schneider&rft_rights=Rights holder: Derek Schneider&rft_subject=Pasture&rft_subject=Dry Matter&rft_subject=Grazing Management&rft_subject=SMART Farms&rft_subject=Feed&rft_subject=Livestock&rft_subject=Farming Systems Research&rft_subject=AGRICULTURAL AND VETERINARY SCIENCES&rft_subject=AGRICULTURE, LAND AND FARM MANAGEMENT&rft_subject=Pasture, Browse and Fodder Crops not elsewhere classified&rft_subject=ANIMAL PRODUCTION AND ANIMAL PRIMARY PRODUCTS&rft_subject=PASTURE, BROWSE AND FODDER CROPS&rft_subject=Native and Residual Pastures&rft_subject=Sown Pastures (excl. Lucerne)&rft.type=dataset&rft.language=English Access the data
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Attribution-NonCommercial-NoDerivatives 4.0 International

http://creativecommons.org/licenses/by-nc-nd/4.0/

Rights holder: Derek Schneider

Rights holder: Derek Schneider

Rights holder: Derek Schneider

Rights holder: Derek Schneider

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This data set contains the results from pasture sampling campaigns performed on the UNE SMART Farms. Monthly sampling began in December 2018 and is ongoing, as of February 2021. Sampling is designed to generate data suitable for building and validating pasture monitoring models and algorithms utilising optical remote sensing and proximally sensed pasture monitoring platforms. On each sampling date up to 10 locations are chosen and 3 replicate samples are taken at each site. Sites are chosen that are relatively uniform in nature. Replicates are chosen which act to describe the general area, we perform a cut at a location that visual appears average for the surrounding ~100m2, slightly above average and slightly below average. This allows for correlation with satellite data of multiple spatial resolution. The data set includes objective NDVI data taken with a Holland Scientific ACS211 CropCircle, pasture height information and an estimate of green percentage, along with subjective visual estimates of pasture parameters which correspond to each physical pasture cut. Access and further information about the dataset can be obtained by contacting the dataset creator.

Issued: 2021-02-25

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Subjects
Agricultural and Veterinary Sciences | Agriculture, Land and Farm Management | Animal Production and Animal Primary Products | Dry Matter | Farming Systems Research | Feed | Grazing Management | Livestock | Native and Residual Pastures | Pasture, Browse and Fodder Crops | Pasture | Pasture, Browse and Fodder Crops Not Elsewhere Classified | SMART Farms | Sown Pastures (Excl. Lucerne) |

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Identifiers
ACN 633 798 857