Items where Author is "Gonzalez, Felipe"

Article

Costello, 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. https://doi.org/10.3390/agriculture12111838

Sandino, 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. https://doi.org/10.3390/s18040944

Gonzalez, 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. https://doi.org/10.1002/rob.20417

Conference or Workshop Item

Harris, S., Trotter, P., Gonzalez, F. and Sandino, J. (2017) Bitou bush surveillance UAV trial. In: 14th Queensland Weed Symposium, Port Douglas.

Puig, 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.

Puig, 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.