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.

2010

Mulo, S. and O'Hare, P. (2010) MacMan Stage 3. Project Report. Horticulture Australia Ltd.

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

Chay, P. (2007) Mango Information Delivery Initiative. Project Report. Horticulture Australia Ltd.

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