Items where Subject is "Inventions"
Number of items at this level: 8. AAkbarian, 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 Atzeni, M. and Hill, J. (2018) Non-effluent water storage modelling using MEDLI. Project Report. State of Queensland. DDepartment of Agriculture and Fisheries, Queensland, (2023) Queensland AgTech Roadmap 2023–2028. Technical Report. State of Queensland. HHan, 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. IIbell, 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. SSudholz, 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. TTahmasbian, 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. |