Data and Resources




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Additional Info

Field Value
Title Irish Grass Clover Dataset (VistaMilk)
License CC BY-NC-SA
Teagasc Department Animal and Bioscience Research
Téama Animal and Grassland
Cur síos
Language English
Data creator(s)
  1. Albert, P.
  2. Saadeldin, M.
  3. Narayanan, B.
  4. Mac Namee, B.
  5. Hennessy, D.
  6. O'Connor, A.
  7. O'Connor, N.
  8. McGuinness, K.
Geographic coverage Teagasc Moorepark Farm, Fermoy, Co. Cork
Digital Object Identifier (DOI) https://doi.org/10.5281/zenodo.14191859
Citation University College Dublin, & Teagasc - The Irish Agriculture and Food Development Authority. (2024). Irish Grass Clover Dataset (VistaMilk) [Dataset]. Zenodo. https://doi.org/10.5281/zenodo.14191859
Landing page https://zenodo.org/records/14191859
Rights notes https://creativecommons.org/licenses/by-nc-sa/4.0/deed.en
Project funders VistaMilk SFI Research Centre (Science Foundation Ireland, now Research Ireland, and the Department of Agriculture, Food and the Marine; grant SFI/16/RC/3835)
Related resources
  1. Albert, P., Saadeldin, M., Narayanan, B., Mac Namee, B., Hennessy, D., O'Connor, A., O'Connor, N. & McGuinness, K. (2021). Semi-supervised dry herbage mass estimation using automatic data and synthetic images. Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, pp. 1284-1293
  2. Albert, P., Saadeldin, M., Narayanan, B., Mac Namee, B., Hennessy, D., O'Connor, N. E. & McGuinness, K. (2022). Unsupervised domain adaptation and super resolution on drone images for autonomous dry herbage biomass estimation. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, pp. 1636-1646
  3. Albert, P., Saadeldin, M., Narayanan, B., Mac Namee, B., Hennessy, D., O'Connor, A. H., O'Connor, N. E. & McGuinness, K. (2022). Utilizing unsupervised learning to improve sward content prediction and herbage mass estimation. arXiv:2204.09343
Provenance information Camera and phone subset (2020): images were taken over 0.5 x 0.5 m quadrats on 26 grass-clover plots at Moorepark Farm (Teagasc), using a tripod-mounted Canon EOS 90D and a handheld iPhone 6. For labelled quadrats, herbage was cut at 2-4 cm above ground with Gardena Accu 60 hand shears immediately after imaging. Fresh weight was recorded, and the herbage separated into grass, clover and weeds, oven-dried for 16 h and weighed for dry matter. Further unlabelled images were taken at random locations in the same plots. Drone subset (late autumn 2021): 7-36 images per paddock were taken over 23 paddocks with a DJI Mavic 2 Pro at 6-12 m. Paddock-level dry herbage mass came from (a) visual estimation by two experts at the time of imaging and (b) the protocol of Egan et al. (2018): two 1.2 x 8 m strips per paddock cut at 4 cm with an Etesia mower, and a 100 g subsample dried at 95 C for 16 h.
Time of data collection Camera and phone images 2020; drone images late autumn 2021