BAE Seminar Series: Shrideep Pallickara
November 19, 2024 3:00PM - 4:00PM
https://msu.zoom.us/j/96744558793
BAE SEMINAR SERIES
“Science-informed Artificial Intelligence Methods for Decision Making in Agricultural Systems”
Tuesday, November 19th, 2024
3:00 PM EST
Zoom: https://msu.zoom.us/j/96744558793
Password: GOGREEN
Abstract: Data volumes have increased exponentially over the past couple of decades. This has especially been true for spatial data where the proliferation of sensing (in-situ and remote), process-based models, and simulations have contributed to this increase. AI/ML (artificial intelligence/machine learning) based methods offer opportunities to extract insights by identifying patterns and nonlinear interactions within the high dimensional data space. However, black-box AI methods can produce scientifically inconsistent results. Science guided learning methods offer a way to regulate how and what a deep neural network learns. Soil moisture content underpins several decision-making processes from planting, irrigation planning, and disease surveillance in agricultural systems. In this talk, I present DeepSoil, our methodology to combine scientific knowledge with sensing data and process-based models to generate high-precision soil moisture maps at scale. We consider both sensing and in-situ data: satellite data are lower-precision with good spatial coverage, while in-situ data are high-precision with sparse spatial coverage. The soil moisture maps in DeepSoil are produced at 30 m resolution for the top 5 cm of the soil.
Bio: Shrideep Pallickara is a Professor in the Department of Computer Science at Colorado State University where he also directs the Center for eXascale Spatial Data Analytics and Computing (XSD). His research expertise is in the area of large-scale distributed systems, specifically, GeoAI, cloud computing, and big data. He has published over 160 peer-reviewed articles in this area. His research and assorted systems software have been deployed in domains such as urban sustainability, epidemiology, agricultural systems, earthquake science, environmental and ecological monitoring, healthcare, high-energy physics, and defense applications. His research has been funded by agencies in the United States and the United Kingdom, including the National Science Foundation, the Department of Homeland Security, the Environmental Protection Agency, the Department of Agriculture, and the United Kingdom’s Open Middleware Infrastructure Institute. He is a recipient of the CSU Board of Governors’ Excellence in Undergraduate Teaching Award, the OLIE award, a Monfort Professorship, and the National Science Foundation’s CAREER award.
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