A robotic vineyard monitoring system embedding high resolution and data intensive sensors was designed. The rationale of the design is to exploit the communication capabilities of 5G technologies in order to use edge computing for analysing data. The monitoring system includes both a robot with multispectral imaging and 3D LiDAR and a network of field sensors. An experiment was set to test the monitoring system in a commercial Cabernet Sauvignon vineyard in the province of Toledo. The monitoring was made on 50 vines on which 5 contrasted means of managing the canopy and its growth were implemented. Physiological parameters of the vine were also recorded, and data on the quantity and quality of grapes were acquired. Preliminary results show that it is possible to extract parameters from the database that allow the evolution of the crop to be followed, obtaining relevant information to
A robotic vineyard monitoring system embedding high resolution and data intensive sensors was designed. The rationale of the design is to exploit the communication capabilities of 5G technologies in order to use edge computing for analysing data. The monitoring system includes both a robot with multispectral imaging and 3D LiDAR and a network of field sensors. An experiment was set to test the monitoring system in a commercial Cabernet Sauvignon vineyard in the province of Toledo. The monitoring was made on 50 vines on which 5 contrasted means of managing the canopy and its growth were implemented. Physiological parameters of the vine were also recorded, and data on the quantity and quality of grapes were acquired. Preliminary results show that it is possible to extract parameters from the database that allow the evolution of the crop to be followed, obtaining relevant information to Read More
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