Applying artificial intelligence (AI), machine learning (ML), and big data to natural resource management (NRM) is revolutionizing how natural resources are managed. To gain more …
Research in both ecology and AI strives for predictive understanding of complex systems, where nonlinearities arise from multidimensional interactions and feedbacks across multiple …
Practicing ecologists who excel at their work (“experts”) hold a wealth of knowledge. This knowledge offers a wide range of opportunities for application in ecological research and …
Abstract The Illinois Geographic Information System was used to compare the soil and landscape attributes of the State with its historic vegetation, current land use, and patterns of …
MA Janssen, E Ostrom - Handbook of computational economics, 2006 - Elsevier
Social-ecological systems are complex adaptive systems where social and biophysical agents are interacting at multiple temporal and spatial scales. The main challenge for the …
The search for undiscovered orebodies often begins by targeting areas on twodimensional surface maps that are favorable for more detailed exploration, such as threedimensional …
G Dyck, E Hawley, K Hildebrand, J Paliwal - Smart Agricultural Technology, 2023 - Elsevier
Digital Twins are a novel approach to systems engineering that can help control complex environments and interface humans with them. This is achieved by digitally mirroring a …
L De Cola - Photogrammetric Engineering and Remote Sensing, 1989 - ldecola.net
Remotely sensed images tend to be spatially very complicated, revealing regions of homogeneously classified pixels with quite convoluted perimeters. Fractal analysis, the …