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Titel:

Computational Challenges for Artificial Intelligence and Machine Learning in Environmental Research

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Werner, Martin; Dax, Gabriel; Laass, Moritz
Abstract:
In the last decades, environmental research has started to adopt a data-driven perspective enabled by huge sensor networks, satellite-based Earth observation, and almost ubiquitous Internet access. Some of these data-driven approaches are expected to make visions of a sustainable future come true. For example, by enabling societies to live in sustainable smart cities, or to feed the world with precision agriculture. Or by fighting environmental pollution or global deforestation with increased ob...     »
Stichworte:
Environmental Sciences, Computer Sciences
Zeitschriftentitel:
INFORMATIK 2020
Jahr:
2020
Volltext / DOI:
doi:10.18420/INF2020_95
Verlag / Institution:
Gesellschaft für Informatik, Bonn
Publikationsdatum:
01.01.2021
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