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 depths
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11382/509859
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