K C Ting
Biographic Data
| ID | 6898174 |
|---|---|
| NAME | K C Ting |
| GIVEN NAMES | K C |
| FAMILY NAME | Ting |
| SIGNATURE | TING K C |
| AFFILIATIONS | University of Illinois Urbana-Champaign |
| ORCID | 0000-0003-4727-8168 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 3 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2016 |
| LATEST PUBLICATION YEAR | 2020 |
| H-INDEX | 1 |
DeepCropNet
Large-scale crop yield estimation is critical for understanding the dynamics of global food security. Understanding and quantifying the temporal cumulative effect of crop growth and spatial variances across different regions remains challenging for large-scale crop yield estimation. In this study, a deep spatial-temporal learning framework, named DeepCropNet (DCN), has been developed to hierarchically capture the features for county-level corn yi…
Engineering solutions for food-energy-water systems
Food, energy, and water systems interact extensively, giving rise to the term “food-energy-water (FEW) nexus,” with the term “nexus” signifying connectedness and interrelationships. A systems approach involving multidisciplinary and transdisciplinary teams and partnerships is needed to address complex challenges of the nexus. A concurrent cyber-physical framework comprised of systems informatics, information analysis methods and tools, and system…
Engineering solutions for food-energy-water systems
Food, energy, and water systems interact extensively, giving rise to the term “food-energy-water (FEW) nexus,” with the term “nexus” signifying connectedness and interrelationships. A systems approach involving multidisciplinary and transdisciplinary teams and partnerships is needed to address complex challenges of the nexus. A concurrent cyber-physical framework comprised of systems informatics, information analysis methods and tools, and system…
Engineering solutions for food-energy-water systems
Food, energy, and water systems interact extensively, giving rise to the term “food-energy-water (FEW) nexus,” with the term “nexus” signifying connectedness and interrelationships. A systems approach involving multidisciplinary and transdisciplinary teams and partnerships is needed to address complex challenges of the nexus. A concurrent cyber-physical framework comprised of systems informatics, information analysis methods and tools, and system…
DeepCropNet
Large-scale crop yield estimation is critical for understanding the dynamics of global food security. Understanding and quantifying the temporal cumulative effect of crop growth and spatial variances across different regions remains challenging for large-scale crop yield estimation. In this study, a deep spatial-temporal learning framework, named DeepCropNet (DCN), has been developed to hierarchically capture the features for county-level corn yi…
Computer Science (2 works) · Agricultural risk and resilience (1 work) · Artificial Intelligence (1 work) · Cartography (1 work) · Climate change impacts on agriculture (1 work) · Data sharing (1 work) · Deep learning (1 work) · Ecology (1 work) · Engineering (1 work) · Environmental Science (1 work)