Mr Dale Fletcher

Senior Research Manager (Computer Science)

Email: dale@waikato.ac.nz
Room: FG.2.03
Phone: +64 7 858 5174
Extension: 5174

Reijneveld, J. A., van Oostrum, M. J., Brolsma, K. M., Fletcher, D., & Oenema, O. (2022). Empower Innovations in Routine Soil Testing. Agronomy, 12(1). doi:10.3390/agronomy12010191
Holmes, G., Frank, E., Fletcher, D., & Sterling, C. (2022). Efficiently correcting machine learning: considering the role of example ordering in human-in-the-loop training of image classification models. In Proc 27th International Conference on Intelligent User Interfaces (IUI '22) (pp. 584-593). New York, NY, USA: ACM. doi:10.1145/3490099.3511110
Goodrich, J. P., Wall, A. M., Campbell, D. I., Fletcher, D., Wecking, A. R., & Schipper, L. A. (2021). Improved gap filling approach and uncertainty estimation for eddy covariance N<inf>2</inf>O fluxes. Agricultural and Forest Meteorology, 297. doi:10.1016/j.agrformet.2020.108280
Hill, M. G., Connolly, P. G., Reutemann, P., & Fletcher, D. (2014). The use of data mining to assist crop protection decisions on kiwifruit in New Zealand. Computers and Electronics in Agriculture, 108, 250-257. doi:10.1016/j.compag.2014.08.011