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Earth observation plays a crucial role in supporting policy-making processes and developing some economic areas. A vast amount of earth observation data is collected that can feed AI models and methods and thus help to acquire new knowledge and develop innovative products. This section gives references on on-going projects and presents results in the area of AI in earth observation.
The Agriculture Bootstrapping services and resources have been developed in order to support the AI4Copernicus project’s open calls. The development of these bootstrapping services aimed to reduce the time and resources of the bidders in the data preparat...
TimeSen2Crop is a pixel based dataset made up of more than 1 million samples of Sentinel 2 Time Series associated to 16 crop types, during an agronomic year ranging from September 2017 to August 2018. The dataset contains atmospherically corrected samples...
AIPlan4EU is looking for real-world use-cases of AI planning, software development and planning technology.