Items where Subject is "Computer software"

C

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

F

Falk, M. G., O’Leary, R., Nayak, M., 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.

H

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.

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.

I

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.

M

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.

O

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..

Z

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.