DocumentCode :
1601335
Title :
Towards Smart Farming and Sustainable Agriculture with Drones
Author :
Tripicchio, Paolo ; Satler, Massimo ; Dabisias, Giacomo ; Ruffaldi, Emanuele ; Avizzano, Carlo Alberto
Author_Institution :
Gustavo Stefanini Adv. Robot. Res. Center, Scuola Superiore Sant´Anna, Pisa, Italy
fYear :
2015
Firstpage :
140
Lastpage :
143
Abstract :
The use of drones in agriculture is becoming more and more popular. The paper presents a novel approach to distinguish 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.
Keywords :
agriculture; autonomous aerial vehicles; control engineering computing; image colour analysis; image sensors; robot vision; RGB-D sensor; UAV; commercially available unmanned aerial vehicles; drones; field plowing techniques; measurement algorithms; plowing depths; smart farming; sustainable agriculture; Agriculture; Cameras; Drones; Navigation; Robot sensing systems; Soil; Three-dimensional displays; drones; mobile robots; plowing; point cloud; rgb-d;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Environments (IE), 2015 International Conference on
Conference_Location :
Prague
Type :
conf
DOI :
10.1109/IE.2015.29
Filename :
7194284
Link To Document :
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