• BAgrSc (Hons) Class I. 2018 The University of Queensland


  • Dang, Y. P., Martinez, C., Smith, D., Rowlings, D., Grace, P., & Bell, M. (2021, October). Maize production and nitrous oxide emissions from enhanced efficiency nitrogen fertilizers. Nutrient Cycling in Agroecosystems. doi:10.1007/s10705-021-10171-4
  • David, E., Ogidi, F., Smith, D., Chapman, S., de Solan, B., Guo, W., . . . Stavness, I. (2023, June). Global wheat head detection challenges: winning models and application for head counting. Plant Phenomics. doi:10.34133/plantphenomics.0059
  • David, E., Serouart, M., Smith, D., Madec, S., Velumani, K., Liu, S., . . . Guo, W. (2021, January). Global Wheat Head Detection 2021: An Improved Dataset for Benchmarking Wheat Head Detection Methods. Plant Phenomics, 2021. doi:10.34133/2021/9846158
  • ¬†Haeften, S. V., Dudley, C., Kang, Y., Smith, D., Nair, R. M., Douglas, C. A., . . . Smith, M. R. (2023, June). Building a better Mungbean: Breeding for reproductive resilience in a changing climate. Food and Energy Security. doi:10.1002/fes3.467
  • Madec, S., Irfan, K., Velumani, K., Baret, F., David, E., Daubige, G., . . . Weiss, M. (2023, May). VegAnn, Vegetation Annotation of multi-crop RGB images acquired under diverse conditions for segmentation. Scientific Data, 10. doi:10.1038/s41597-023-02098-y
  • Smith, D. T., Potgieter, A. B., & Chapman, S. C. (2021, June). Scaling up high-throughput phenotyping for abiotic stress selection in the field. Theoretical and Applied Genetics. doi:10.1007/s00122-021-03864-5