Rate My Professor Gustavo Alckmin

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.