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Items where Subject is "Statistical software"

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Number of items at this level: 13.

Article

Collard, B., Mace, E., McPhail, M., Wenzl, P., Cakir, M., Fox, G., Poulsen, D. and Jordan, D. (2009) How accurate are the marker orders in crop linkage maps generated from large marker datasets? Crop & Pasture Science, 60 (4). pp. 362-372.

Seyoum, S., Chauhan, Y., Rachaputi, R., Fekybelu, S. and Prasanna, B. (2017) Characterising production environments for maize in eastern and southern Africa using the APSIM Model. Agricultural and Forest Meteorology, 247 . pp. 445-453. ISSN 0168-1923

Book Section

Innes, J., Dillon, L., Smyth, E., Karan, M., Holton, A., Bally, S. E. and Dietzgen, G. (2015) Mangomics: Information Systems Supporting Advanced Mango Breeding. In: Genomics and Proteomics. Apple Academic Press, pp. 281-307. ISBN 978-1-77188-114-2

Monograph

Courtney, A., Campbell, A., Quinn, R., O'Neill, M., Campbell, M., Shen, J. and Emery, M. (2016) TrackMapper Rises. Project Report. Department of Agriculture and Fisheries, State of Queensland.

Ergashev, A. (2019) Real Statistics for Policy-Makers: Exercises in the Queensland Context. Manual. State of Queensland.

Hamilton, J. and Banney, S. (2011) Preliminary investigation into the development of an electronic forage budget and land condition application, for use on existing hand-held devices, for the northern grazing industry. Project Report. Meat & Livestock Australia Limited.

Ovenden, J., Street, R., Peel, D., Peel, S., Courtney, T., Podlich, H., Basford, K. and Dichmont, C. (2004) A new data source for fisheries resource assessment: genetic estimates of the effective number of spawners. Final Report to the Fisheries Research and Development Corporation. Project Report. QO 04010. Department of Primary Industries & Fisheries. Queensland..

Conference or Workshop Item

Merz, T., Hrabar, S., Kendoul, F. and Jeffery, M. (2016) Unmanned helicopter system for miconia weed surveys. In: 20th Australasian Weeds Conference.

O'Hallaran, J. (2019) Challenges and opportunities for PA adoption in vegetables. In: TropAg 2019 International Tropical Agriculture Conference - Shaping the Science of Tomorrow, 11 - 13 November 2019, Brisbane, Australia.

O'Hallaran, J. (2019) Using precision information systems for advanced decision making in vegetables. In: TropAg 2019 International Tropical Agriculture Conference - Shaping the Science of Tomorrow, 11 - 13 November 2019, Brisbane, Australia.

Robson, A., Abbott, C., Lamb, D. and Bramley, R. (2012) Developing sugar cane yield prediction algorithms from satellite imagery. In: 34th Annual Conference Australian Society of Sugar Cane Technologists, Cairns.

Van Sprang, C. (2019) Using precision information technologies to understand crop variability. In: TropAg 2019 International Tropical Agriculture Conference - Shaping the Science of Tomorrow, 11 - 13 November 2019, Brisbane, Australia.

Wang, M., Thorp, G., Hofman, H., White, N., Wherritt, E. and Hanan, J. (2016) Pattern-oriented modelling of plant architecture: A new approach for constructing functional-structural plant models. In: IEEE International Conference on Functional-Structural Plant Growth Modeling, Simulation, Visualization and Applications (FSPMA), 7-11 Nov. 2016, Qingdao, China.

This list was generated on Tue Feb 25 13:12:13 2020 UTC.