Publication
Number of items: 11.
F
A Deep Learning Application to Map Weed Spatial Extent from Unmanned Aerial Vehicles Imagery. (2022)
Fraccaro, P., Butt, J., Edwards, B., Freckleton, R. P., Childs, D. Z., Reusch, K., Comont, David
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Black-Grass Monitoring Using Hyperspectral Image Data Is Limited by Between-Site Variability. (2024)
Goodsell, R., Coutts, S., Oxford, W., Hicks, H., Comont, David, Freckleton, R., Childs, D.
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Radiometric calibration of ‘Commercial off the shelf’ cameras for UAV-based high-resolution temporal phenotyping of reflectance and NDVI. (2019)
Holman, F. H., Riche, Andrew, Castle, March, Wooster, M. J., Hawkesford, Malcolm
High throughput field phenotyping of wheat plant height and growth rate in field plot trials using UAV based remote sensing. (2016)
Holman, F. H., Riche, Andrew, Michalski, Adam, Castle, March, Wooster, M. J., Hawkesford, Malcolm
K
Quantitative Estimation of Wheat Phenotyping Traits Using Ground and Aerial Imagery. (2018)
Khan, Z., Chopin, J., Cai, J., Rahimi-Fichi, V., Laga, H., Haefele, Stephan, Miklavcic, S. J.
O
Hyperspectral imaging for phenotyping plant drought stress and nitrogen interactions using multivariate modeling and machine learning techniques in wheat. (2024)
Okyere, Frank, Cudjoe, Daniel, Virlet, Nicolas, Castle, March, Riche, Andrew, Greche, Latifa, Mohareb, F., Simms, D., Mhada, M., Hawkesford, Malcolm
Geographically weighted quantile machine learning for probabilistic soil moisture prediction from spatially resolved remote sensing. (2025)
Oulaid, Bader, Harris, Paul, Maas, Ellen, Fakeye, Ireoluwa, Baker, Chris