Gustavo Alckmin
University of Western Australia
Rate Professor Gustavo Alckmin
Always patient and encouraging to students.
Encourages students to think critically.
Helps students unlock their full potential.
Always supportive and understanding.
Makes learning feel effortless and fun.
About Gustavo
Gustavo Alckmin, Dr., serves as a Lecturer in the School of Agriculture and Environment at the University of Western Australia. An agricultural engineer by training, he earned his BSc with honours in Agronomic Engineering from the University of São Paulo (ESALQ) on 13 August 2010. He obtained a double-degree MSc in Agriculture from Montpellier SupAgro and the Technical University of Madrid on 26 September 2014. Alckmin completed a double-degree PhD in Agriculture from Wageningen University and the University of Tasmania on 19 May 2021. Before joining UWA, he worked as a postdoctoral scholar at the University of Missouri and as a lecturer at the University of Melbourne. His professional experience also encompasses industry roles as an assistant commodity trader handling physicals and as the founder of a startup developing UAVs and false infrared cameras.
Alckmin's research focuses on precision agriculture, remote sensing, data science, spectroscopy, machine learning, and deep learning applied to cropping and pasture systems, as well as unmanned aerial vehicles. He specializes in sensing and analytics, fast prototyping of sensors, modeling physical phenomena, and deploying solutions to agricultural end-users, incorporating multi-camera multispectral arrays, self-balancing platforms (gimbals), Internet of Things, and MLOps. At UWA, he coordinates the units Precision Agriculture (AGRI4401) and Crops and Cropping Systems (SCIE3314). His key publications include "Perennial ryegrass biomass retrieval through multispectral UAV data" with co-authors Togeiro de Alckmin, G., Lucieer, A., Rawnsley, R. & Kooistra, L. (Computers and Electronics in Agriculture, 2022); "Comparing methods to estimate perennial ryegrass biomass: canopy height and spectral vegetation indices" (Precision Agriculture, 2021); "Retrieval of hyperspectral information from multispectral data for perennial ryegrass biomass estimation" (Sensors, 2020); and "Retrieval of Crude Protein in Perennial Ryegrass Using Spectral Data at the Canopy Level" (Remote Sensing, 2020). His PhD thesis titled "From field to airborne spectroscopy – advancing spectral data analytics for accurate retrieval of perennial ryegrass biomass and feed quality" was completed in 2021. Alckmin is currently accepting PhD and other higher degree by research students.
Professional Email: gustavo.alckmin@uwa.edu.au