Davide Cammarano
Recent advancements in decision support systems/modeling
Davide Cammarano
Department of Agroecology, Climate and Water section, iClimate, CBIO, Aarhus University, Denmark
ABSTRACT
Crop simulation models, and decision support tools have been developed and applied for a variety of scientific fields, such as in precision agriculture. The latter is a discipline that started in the mid-80s as a mean to manage field’s variability. Several aspects of the agronomic management of the fields have been subject to site-specific optimization using different types of technologies. Despite the initial success there has been a plateau on this technology for a number of years. In the last 10 years, there has been an increasing interest in “precision agriculture” with many companies and startup offering digital solutions and support systems for the agronomic management. Despite doing so the global adoption of proper precision agriculture management is rather low and the reasons for that must be found in several aspects, expectations and training of people working in this particular scientific field.
Going forward, climate change and increased climate variability poses additional challenges to managing agricultural fields and therefore precision agriculture can be a relevant technology in mitigating and adapting to climate change.
This presentation will critically address the past, present and future directions of modeling and decision support tools and offer an overview of what they can contribute to.
SPEAKER BIOGRAPHY
Davide Cammaran My scientific expertise includes precision agriculture, agronomy, application and development of crop models, remote sensing, crop and soil sciences, climate change and climate forecasts in agriculture, understanding the role of agriculture in local and global food safety and security.
I have graduated in Agricultural Science and Technology from the University of Basilicata (Italy). During my PhD at the University of Melbourne (Australia) I have worked on spatially integrating crop simulation model and remote sensing for nitrogen management on wheat. After the PhD I worked at Queensland University of Technology (Institute for Sustainable Resources) on measuring greenhouse gas emissions from cotton and wheat; and as Postdocotoral Associate at the University of Florida (USA) working on the impacts of climate change on agriculture and how to model it. After this, I was a Research Scientist at the James Hutton Institute (Dundee, U.K.) working in precision agriculture and modelling the impacts of climate change in agriculture. From Jan 2020 to Jan 2022, I was an as Associate Professor in Digital Agriculture at the Department of Agronomy, Purdue University. Now I am a Professor in Environmental Crop Science at Aarhus University, Department of Agroecology. I am currently Chief Editor of Precision Agriculture, and President Elect of the International Society of Precision Agriculture.
