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Geomatics for precision agricolture and digital twin
Reference persons ELENA BELCORE
Description Designing a prototype for a digital twin of indoor cultivations by employing LiDAR, multispectral technologies, and photogrammetric techniques. The thesis project encompasses the collection, processing, and harmonization of multi-sensor data, as well as the utilization of machine learning for analysis. This includes modeling, in-depth analysis, and interpretation of data to transform it into valuable information, culminating in its presentation on a web-based Geographic Information System (GIS).
Deadline 23/02/2025
PROPONI LA TUA CANDIDATURA