The use of drones in agriculture is becoming more and more popular. The paper presents a novel approach to dis- tinguish between different field’s plowing techniques by means of an RGB-D sensor. The presented system can be easily integrated in commercially available Unmanned Aerial Vehicles (UAVs). In order to successfully classify the plowing techniques, two different measurement algorithms have been developed. Experimental tests show that the proposed methodology is able to provide a good classification of the field’s plowing depths
Towards Smart Farming and Sustainable Agriculture with Drones
TRIPICCHIO, Paolo;SATLER, MASSIMO;DABISIAS, Giacomo;RUFFALDI, EMANUELE;AVIZZANO, Carlo Alberto
2015-01-01
Abstract
The use of drones in agriculture is becoming more and more popular. The paper presents a novel approach to dis- tinguish between different field’s plowing techniques by means of an RGB-D sensor. The presented system can be easily integrated in commercially available Unmanned Aerial Vehicles (UAVs). In order to successfully classify the plowing techniques, two different measurement algorithms have been developed. Experimental tests show that the proposed methodology is able to provide a good classification of the field’s plowing depthsFile in questo prodotto:
Non ci sono file associati a questo prodotto.
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
