Items where Author is "Gonzalez, Felipe"
Group by: Item Type | Date Number of items: 6. 2022Costello, B., Osunkoya, O. O., Sandino, J., Marinic, W., Trotter, P., Shi, B., Gonzalez, F. and Dhileepan, K. (2022) Detection of Parthenium Weed (Parthenium hysterophorus L.) and Its Growth Stages Using Artificial Intelligence. Agriculture, 12 (11). p. 1838. ISSN 2077-0472 2018Sandino, J., Pegg, G. S., Gonzalez, F. and Smith, G. (2018) Aerial Mapping of Forests Affected by Pathogens Using UAVs, Hyperspectral Sensors, and Artificial Intelligence. Sensors, 18 (4). p. 944. ISSN 1424-8220 2017Harris, S., Trotter, P., Gonzalez, F. and Sandino, J. (2017) Bitou bush surveillance UAV trial. In: 14th Queensland Weed Symposium, Port Douglas. 2016Puig, E., Gonzalez, F., Hamilton, G. and Grundy, P. R. (2016) Automating Crop Damage Assessments with Unmanned Aerial Systems and Machine Learning. In: Unmanned Aircraft Systems for Remote Sensing Applications 2016, 17 & 18 February 2016, University of Queensland, Brisbane, Queensland, Australia. 2015Puig, E., Gonzalez, F., Hamilton, G. and Grundy, P. R. (2015) Assessment of crop insect damage using unmanned aerial systems: A machine learning approach. In: Proceedings of MODSIM2015, 21st International Congress on Modelling and Simulation., 29 November - 4 December 2015, Gold, Coast Australia. 2011Gonzalez, F., Castro, M. P. G., Narayan, P., Walker, R. and Zeller, L. (2011) Development of an autonomous unmanned aerial system to collect time-stamped samples from the atmosphere and localize potential pathogen sources. Journal of Field Robotics, 28 (6). pp. 961-976. ISSN 1556-4967 |