The University of Queensland (UQ) has a meritorious history in leading research in remote sensing, cropping system modelling and phenotyping and genetic prediction with applications in plant and animal systems. Projects are typically led by ag experts, with statistics/data sciences being bought or brought in. In recent years, Ag/data startups have been super-charged by capital, applying all manner of methods in impressive but sometimes dubious ways. Regardless, our ag graduates need more exposure to data sciences and which are useful/applicable in their future employment. Here I attempt to summarise UQ current research and future opportunities to deploy data science in agriculture research. Professor Scott Chapman Prof Chapman is a crop physiologist in UQ's School of Agriculture and Food Sciences (SAFS). He studies genetic and environmental effects on the physiology of field crops, particularly where drought dominates. His research is in the application of quantitative approaches (crop simulation and statistical methods) and phenotyping (aerial imaging, canopy monitoring) to integrate the understanding of interactions of genetics, growth and development and the bio-physical environment on crop yield. In recent years, this work has expanded more generally into various applications in digital agriculture from work on canopy temperature sensing for irrigation decisions through to applications of deep-learning to imagery to assist breeding programs. More info on this seminar: https://bit.ly/3hbSXnj Sign up now to receive seminar notifications: http://bit.ly/QAAFI-Seminar Join the Global Wheat Challenge 2021 here: https://www.aicrowd.com/challenges/global-wheat-challenge-2021 Meet AI researchers at Queensland Hub: https://www.qldaihub.com/ Learn Machine Learning skills online: https://www.fast.ai/ Useful talks exploring the usage of data science in agriculture: Designing crops for Australia’s climate in 2050 by Graeme Hammer https://www.youtube.com/watch?v=9cc4LEWF3bo Stimulating crop improvement with crop models by Alex Wu https://www.youtube.com/watch?v=dDm6JrubHp0 Prediction-based crop improvement by Mark Cooper https://www.youtube.com/watch?v=twbXkEPlj3Y The ARC CoE for Plant Success in Nature and Agriculture by Christine Beveridge https://www.youtube.com/watch?v=MhmDmCrcGnI An integrated approach to predicting major crops in Australia by Andries Potgieter https://www.youtube.com/watch?v=WPf8Zp93gZ0 Predicting field-scale yield by Yan Zhao https://www.youtube.com/watch?v=fBnWoeTV46o An integrated remote-sensing approach to close the phenotyping gap in sorghum breeding by Barbara George-Jaeggli https://www.youtube.com/watch?v=U66Gay29VCI Models to predict Genotype × Environment interactions over time by Daniela Bustos-Korts https://www.youtube.com/watch?v=SGWih3-q5Fs The value add of sensing technologies to agri-food systems by Daniel Cozzolino https://www.youtube.com/watch?v=tZRKuAPQ2f0 Intensification options for diverse farms in eastern and southern Africa by Erin Wilkus https://www.youtube.com/watch?v=pTx0np-FmZA