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Document type:
Zeitschriftenaufsatz 
Author(s):
Werner, Martin; Dax, Gabriel; Laass, Moritz 
Title:
Computational Challenges for Artificial Intelligence and Machine Learning in Environmental Research 
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...    »
 
Keywords:
Environmental Sciences, Computer Sciences 
Journal title:
INFORMATIK 2020 
Year:
2020 
Fulltext / DOI:
Publisher:
Gesellschaft für Informatik, Bonn 
Date of publication:
01.01.2021