Fostering Agricultural Transformation through AI: An Open-Source AI Architecture Exploiting the MLOps Paradigm
MDPI Agronomy Journal
As the global population is expected to reach 10 billion by 2050, the agricultural sector faces the challenge of achieving an increase of 60% in food production without using much more land.
Artificial Intelligence Data Science Methodology for Earth Observation
Chapter in Book "Advanced Analytics and Artificial Intelligence Applications", 978-1-78984-639-3, by IntechOpen
Data Science Workflows for the CANDELA Project
Publication in Conference proceedings/Workshop “Big Data from Space” (BiDS’19), Munich, Germany, 19-21 February 2019. ISBN 978-92-76-00034-1 ISSN 1831-9424 doi: 10.2760/848593
Earth Observation Data Mining: A use case for Forest Monitoring
Paper in the IEEE Geoscience and Remote Sensing Society (IGARSS) 2019 Conference