Items where Subject is "Inventions"

Article

Akbarian, S., Xu, C.-Y., Wang, W., Ginns, S. P. and Lim, S. (2022) Sugarcane yields prediction at the row level using a novel cross-validation approach to multi-year multispectral images. Computers and Electronics in Agriculture, 190 , 107024.

Anderson, N. T., Walsh, K. B., Koirala, A., Wang, Z., Amaral, M. H., Dickinson, G. R., Sinha, P. and Robson, A. J. (2021) Estimation of Fruit Load in Australian Mango Orchards Using Machine Vision. Agronomy, 11 (9). p. 1711. ISSN 2073-4395

Blair, A. and Robertson, J. (2014) Dual herbicide spray application technology in sugar cane. Proceedings of the Australian Society of Sugar Cane Technology, 36 . p. 108. ISSN 0726-0822

Cornwall, N.A. and Black, R.F. (1967) Glasshouse temperature measurement and screen design. Queensland Journal of Agricultural and Animal Sciences, 24 (1). pp. 95-100.

Gama, T., Wallace, H. M., Trueman, S. J., Tahmasbian, I. and Bai, S. H. (2017) Hyperspectral imaging for non-destructive prediction of total nitrogen concentration in almond kernels. Acta Horticulturae, 1219 . pp. 259-264. ISSN 9462612161

Kerr, J.A. and Rawson, J.E. (1961) A self-propelled combine harvester for experimental plots. Queensland Journal of Agricultural Science, 18 (4). pp. 491-496.

Loane, P. (1962) A simple field test for the detection of inhibitory substances in milk supplies. Queensland Journal of Agricultural Science, 19 (4). pp. 533-537.

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. ISSN 0049-4763

Malmir, M., Tahmasbian, I., Xu, Z., Farrar, M. B. and Bai, S. H. (2019) Prediction of soil macro- and micro-elements in sieved and ground air-dried soils using laboratory-based hyperspectral imaging technique. Geoderma, 340 . pp. 70-80. ISSN 0016-7061

McKenna, P. B., Ufer, N., Glenn, V., Dale, N., Carins, T., Nguyen, T. h., Thomson, M. B., Young, A. J., Buck, S. R., Jones, P. and Erskine, P. D. (2024) Mapping pasture dieback impact and recovery using an aerial imagery time series: a central Queensland case study. Crop and Pasture Science, 75 (9).

Mehr, F.S.F. (1964) A simple laboratory glass still with automatic water control. Queensland Journal of Agricultural Science, 21 (1). pp. 159-161.

Rawson, J.E. (1962) A collapsible tripod to facilitate loading of farm machines. Queensland Journal of Agricultural Science, 19 (1). pp. 149-151.

Robertson, J. and Blair, A. (2015) The dual herbicide sprayer. Proceedings of the Australian Society of Sugar Cane Technology, 37 . p. 22. ISSN 0726-0822

Sudholz, A., Denman, S., Pople, A. R., Brennan, M., Amos, M. and Hamilton, G. (2021) A comparison of manual and automated detection of rusa deer (Rusa timorensis) from RPAS-derived thermal imagery. Wildlife Research, 49 (1). pp. 46-53.

Tahmasbian, I., Xu, Z., Boyd, S., Zhou, J., Esmaeilani, R., Che, R. and Hosseini Bai, S. (2018) Laboratory-based hyperspectral image analysis for predicting soil carbon, nitrogen and their isotopic compositions. Geoderma, 330 . pp. 254-263. ISSN 0016-7061

Monograph

Atzeni, M. and Hill, J. (2018) Non-effluent water storage modelling using MEDLI. Project Report. State of Queensland.

Clewett, J.F. (2005) Australian RAINMAN: Further development and application to improve management of climate variability. Project Report. Rural Industries Research and Development Corporation.

Department of Agriculture and Fisheries, Queensland, (2023) Queensland AgTech Roadmap 2023–2028. Technical Report. State of Queensland.

Ibell, P., Wright, C. L., Ridgeway, K., Bally, I. S.E., O'Farrell, P. and Xu, Z. (2018) Preliminary investigation of water use efficiency of Avocado varieties, irrigation and intra-canopy variation. Project Report. State of Queensland.

Conference or Workshop Item

Han, L., Cao, J., Ibell, P. and Diczbalis, Y. (2022) DigiHort: Digital Twins for Innovation of Future Orchard Systems. In: TropAg 2022 International Agriculture Conference, 31 October - 2 November 2022, Brisbane, Australia.

Potgieter, A., Camino, C., Poblete, T., George-Jaeggli, B. and et, a. (2023) Advances in the Study of Biochemical, Morphological and Physiological Traits of Wheat and Sorghum Crops in Australia Using Hyperspectral Data and Machine Learning. In: IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 16-21 July 2023, Pasadena, Calif. USA.

Tahmasbian, I., Moss, A. F., Morgan, N. K., Pepper, C.-M. and Dunlop, M. W. (2023) Hyperspectral imaging is a promising technology for real-time monitoring of feed and litter quality, and mycotoxin detection. In: 34th Australian Poultry Science Symposium,, 5th - 8th February 2023, Sydney, Australia.