DescriptionGeo-information has become a social commodity that moves fast into the big data era: Increasingly more data sources are becoming available, from affordable miniature devices, to smart phones, IoT sensors, high-resolution, multi-spectral remote sensing images, and social media. Detecting meaningful signals through vast volumes of environmental data to further progress our understanding of natural processes and socio-environmental system interactions, remains a challenge. This talk offers an outlook of the technical challenges ahead, and some solutions from ongoing work with my team, towards data-driven intelligence with applications in ecosystem services, environmental policy, food security, and crop yield prediction at field and regional scales.
|Period||4 Sep 2020|
|Event title||Artificial Intelligence in Natural Sciences and Technology: Workshop at 11th EETN Conference on Artificial Intelligence (SETN 2020)|
|Degree of Recognition||International|