Items where Subject is "Computer software"
Number of items at this level: 14. CCatchpoole, K. and Nester, M. R. (2004) A financial calculator: Software for evaluating plantation scenarios. Australian Forestry, 67 (3). pp. 191-193. ISSN 0004-9158 Chudleigh, F. (2013) Breedcow and Dynama software redevelopment. Project Report. Meat & Livestock Australia Limited. FFalk, 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. 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. ISSN 1433-3058 GGaffney, J. (1997) FEEDMAN a feed-to-dollars beef management package. Tropical Grasslands, 31 (6). pp. 605-607. ISSN 0049-4763 HHamilton, 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. 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. IIrvine, 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. LLowe, 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. ISSN 0049-4763 MMayer, 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. 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. ISSN 1161-0301 OOvenden, 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.. RReyenga, 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. ISSN 1364-8152 ZZhang, 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. |