Intelligent Automation in Precision Agriculture
Intelligent Automation in Precision Agriculture
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AI+Green project aims to increase the precision and reliability of vineyard management practices, by supporting monitoring and developing a novel spatio-temporal data-information fusion system based on fundamental and applied techniques from remote (satellite) sensing, agriculture science, probabilistic machine learning, and aerial robots (i.e., UAS).
Objectives
Objectives
Develop an integrated remote sensing, satellite and UAS based, data collection and processing system (RSSys)
Endow the RRSys framework with machine learning capabilities
Develop a probabilistic information fusion system
Deploy the RRSys in Vineyard study sites i.e., “agriculture-in-the-loop” concept
Photo of the Team* taken from a UAV/drone during the kick-off meeting, Oct/2020.
*Gil Goncalves (INESCC-UC), Maria José Cunha (ESAC), António Dinis Ferreira (ESAC), António Ferreira, Carla Sofia Ferreira (ESAC), Tiago Barros (ISR), Anne Karine-Boulet (ESAC), Cristiano Premebida (ISR).
More members of the Team: Urbano J.C. Nunes (ISR), Luis Garrote (ISR).
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