Items where Subject is "Computer software"

2020

Irvine, S. and Holloway, C. H. (2020) Spatial Grazing Land Management Land Types of Queensland: Review and amendments. Technical Report. Department of Agriculture and Fisheries, Queensland.

2015

Falk, M. G., O’Leary, R., Nayak, M. K., Collins, P. and Low Choy, S. (2015) A Bayesian hurdle model for analysis of an insect resistance monitoring database. Environmental and Ecological Statistics, 22 (2). pp. 207-226. https://doi.org/10.1007/s10651-014-0294-3

2013

Chudleigh, F. (2013) Breedcow and Dynama software redevelopment. Project Report. Meat & Livestock Australia Limited.

Johnson, K., Taylor, M., Norton, G. and Blackburn, G. (2013) Harnessing the power of people - phone apps for national weed surveillance. In: 12th Queensland Weed Symposium 2013, 15-18 July, Hervey Bay, Queensland.

2011

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.

2009

Lowe, K.F. and Simpson, G.B. (2009) Pasture analyser - A database of the growth rates of irrigated temperate species in southern Queensland. Tropical Grasslands, 43 . pp. 255-258.

2008

Mayer, D. G., Rossing, W.A.H., de Devoil, P., Groot, J.C., McPhee, M.J. and Oltjen, J.W. (2008) Optimal management of agricultural systems. In: Success in Evolutionary Computation. Studies in Computational Intelligence, 92 . Springer Berlin / Heidelberg. https://doi.org/10.1007/978-3-540-76286-7_7

2007

Zhang, X., Lee, J.H., Abawi, Y., Kim, Y.H., McClymont, D. and Kim, H.D. (2007) Testing the simulation capability of APSIM-ORYZA under different levels of nitrogen fertiliser and transplanting time regimes in Korea. Australian Journal of Experimental Agriculture, 47 (12). pp. 1446-1454. https://doi.org/10.1071/EA05363

2005

Hoyle, S., Peel, D., Ovenden, J.R., Broderick, D. and Buckworth, R. (2005) LOCUSEATER and SHADOWBOXER: programs to optimize experimental design and multiplexing strategies for genetic mark-recapture. Molecular Ecology Notes, 5 (4). pp. 974-976. https://doi.org/10.1111/j.1471-8286.2005.01116.x

2004

Catchpoole, K. and Nester, M. R. (2004) A financial calculator: Software for evaluating plantation scenarios. Australian Forestry, 67 (3). pp. 191-193. https://doi.org/10.1080/00049158.2004.10674933

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..

1999

Reyenga, P. J., Howden, S.M., Meinke, H. and McKeon, G.M. (1999) Modelling global change impacts on wheat cropping in south-east Queensland, Australia. Environmental Modelling & Software, 14 (4). pp. 297-306. https://doi.org/10.1016/S1364-8152(98)00081-4

1998

Meinke, H., Hammer, G. L., van Keulen, H. and Rabbinge, R. (1998) Improving wheat simulation capabilities in Australia from a cropping systems perspective. III. The integrated wheat model (I-WHEAT). European Journal of Agronomy, 8 (1-2). pp. 101-116. https://doi.org/10.1016/S1161-0301(97)00015-4

1997

Gaffney, J. (1997) FEEDMAN a feed-to-dollars beef management package. Tropical Grasslands, 31 (6). pp. 605-607.

1996

Finn, G.D., Lister, R., Szabo, T., Simonetta, D., Mulder, H. and Young, R. (1996) Neural networks applied to a large biological database to analyse dairy breeding patterns. Neural Computing and Applications, 4 . pp. 237-253. https://doi.org/10.1007/BF01413822