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As part of my PhD, I hypothesized that light, as an energy source and signal, plays a critical role in the processes of vegetative bud break, leaf fall and axis mortality in mango tree, and that incorporating these effects into the functional-structural plant model (FSPM) V-Mango, could lead to a significant improvement in model outputs. To evaluate this hypothesis, I studied the functional relationships between light quantity and quality in mature mango tree crowns. I also characterized and modelled the effects of architecture, light, and pruning on axis appearance and disappearance. Finally, all of these results were integrated into V-Mango after coupling it with a light interception model and the model outputs were successfully validated at the axis and whole tree scales.

Summary of Research:

• My current research at UQ is as Professor in this School (teaching AGRC3040 Crop Physiology) and as an Affiliate Professor of QAAFI. Since 2020, with full-time appointment at UQ, my research portfolio has included multiple projects in applications of machine learning and artificial intelligence into the ag domain. This area is developing rapidly and across UQ, I am engaging with faculty in multiple schools (ITEE, Maths and Physics, Mining and Mech Engineering) as well as in the Research Computing Centre to develop new projects and training opportunities at the interface of field agriculture and these new digital analytics.
• My career research has been around genetic and environment effects on physiology of field crops, particularly where drought dominates. 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 (CSIRO Entrepreneurship Award 2022) through to applications of deep-learning to imagery to assist breeding programs.
• Much of this research was undertaken with CSIRO since 1996. Building on an almost continuous collaboration with UQ over that time, including as an Adjunct Professor to QAAFI, Prof Chapman was jointly appointed (50%) as a Professor in Crop Physiology in the UQ School of Agriculture and Food Sciences from 2017 to 2020, and at 100% with UQ from Sep 2020. He has led numerous research projects that impact local and global public and private breeding programs in wheat, sorghum, sunflower and sugarcane; led a national research program on research in ‘Climate-Ready Cereals’ in the early 2010s; and was one of the first researchers to deploy UAV technologies to monitor plant breeding programs. Current projects include a US DoE project with Purdue University, and multiple projects with CSIRO, U Adelaide, La Trobe, INRA (France) and U Tokyo. With > 8500 citations, Prof Chapman is currently in the top 1% of authors cited in the ESI fields of Plant and Animal Sciences and in Agricultural Sciences.

Dr. Javier A. Fernandez is a Postdoctoral Research Fellow at The University of Queensland. His research specializes in crop physiology, plant nutrition, corn production, and crop modelling reflected by over 30 articles (refereed journal publications, extension articles, conference proceedings, and others). He is currently engaged in the use of statistical, digital, and model technologies to assess crop growth and development, with the overall goal of enhancing production, resource use efficiency, and sustainability of agricultural systems in Australia. Javier received his BS in Agricultural Engineering from Universidad Nacional del Nordeste in Argentina, and his PhD in Agronomy from Kansas State University. He is recipient of several honours and awards from university, professional societies, and governmental organizations, including two Fulbright Commission scholarships.

Dr Julius Kotir is a Senior Scientist with the Queensland Government Department of Agriculture and Fisheries and also an Adjunct Senior Fellow in the School of Agriculture and Food Sustainability. His academic and research interest is focused on understanding and managing the complex and long-term sustainability of coupled socio-economic-environmental systems. A particular interest is how to use this understanding to design decision support tools in the form of models to evaluate the impact of different options under an uncertain global future. His work takes an interdisciplinary approach, combining participatory co-design and field-based methods with systems thinking tools and system dynamics modelling to develop qualitative and quantitative simulation models that can support decision making. Julius has is currently using these tools and methods to address a wide range of complex agri-environmental problems including international and rural development issues, food security, economics of farming systems, agrifood and digital twin supply chains, climate-smart agriculture, water resources management, farmer adoption of new practices, and agribusiness policy design and analysis.

Dr Yan Zhao is a dedicated researcher in the field of agricultural systems, utilizing remote sensing observations to unveil spatial and temporal patterns and advance earth observation techniques and modelling. He is an integral member of a multi-disciplinary predictive agriculture research group based at QAAFI.

Currently, Dr Zhao's focus lies in the intricate integration of spatial technologies, crop modelling, and climate forecasting systems at various scales. His primary objective is to leverage remote sensing and crop simulation techniques for a comprehensive understanding of Australia's dryland cropping system. In pursuit of this goal, he has successfully developed pipelines for handling volumetric spatial datasets and delivering crucial information on crop types, production, and phenology, spanning from local to national scales.

Engaging actively with agri-business companies, government departments, and local growers, Dr Zhao collaborates closely with stakeholders to validate and implement his research findings in practical applications.

Dr Zhao earned his Doctoral Degree in Natural Science, with a specialized focus on Cartography and Geographic Information Systems. He completed his doctoral research at the Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, in 2013.