Session 2 - Data Science, Modelling and AI in Soil Science. Room: Glacier Convenors: Symon Mezbahuddin, Kiah Leicht |
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10:30 – 10:45 |
Roland Kröbel# |
Holos V4 release – updates and open-source development |
10:45 – 11:00 |
Jamin Achtymichuk* |
Modelling soil organic matter dynamics at the University of Alberta’s Breton Plots using CQESTR |
11:00-11:15 |
Camile Sothe# |
Mapping Canada’s soil organic carbon from space |
11:15-11:30 |
Gleb Kravchinsky* |
Assessing the risk of deep percolation at a phosphogypsum reclamation site that has been phyto-capped |
11:30-11:45 |
Chih-Yu Hung# |
Modelling shadow and cover effects on manure temperature |
11:45-12:00 |
Discussion |
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12:00-13:00 |
Lunch |
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13:00-13:15 |
Adrienne Arbor*# |
Improving the performance of equation based pedotransfer functions from literature using a non-linear least squares approach |
13:15-13:30 |
Vanessa Caron# |
Using Artificial Intelligence and Earth Observation Technology to Identify Mineral Soil Pads in Peatlands |
13:30-13:45 |
Symon Mezbahuddin |
Alberta Farm Fertilizer Information and Recommendation Manager (AFFIRM) Version 3.0 |
13:45-14:00 |
Timm F. Döbert |
Scenario-based modelling of soil organic carbon under avoided grassland conversion |
14:00-14:15 |
Kate Kuntu-Blankson# |
Process-based modelling of N2O emissions from cattle urine patches using ecosys |
14:15-14:30 |
Discussion |
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14:30-15:00 |
Coffee break (sponsored by Canadian Natural Resources Limited (CNRL)) |
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15:00-15:15 |
Nikisha Muhandiram* |
Modelling soil health indicators under an Intermediate Wheatgrass perennial forage grain system |
15:15-15:30 |
Junye Wang |
Machine learning applications to water quality analysis |
15:30-15:45 |
Natalie Shelby-James |
The Alberta Background Soil Quality System Project |
15:45-16:00 |
Asim Biswas |
A machine learning based approach for downscaling soil water index (SWI) derived from satellite imagery |
16:00-16:15 |
Paul Fuellbrandt |
Soil and Groundwater Remediation Guideline Calculator |
16:15-16:30 |
Tegbaru B. Gobezie* |
Harmonized Ontario Soil Data: the Basis for Ontario Soil Information System (OSIS) |
16:30-16:45 |
Discussion |
*Student presentation competing for the best presentation awards
# Virtual presentation