Towards Smart Farming and Sustainable Agriculture with Drones

被引：119

作者：

Tripicchio, Paolo ^{[1
]}

Satler, Massimo ^{[1
]}

Dabisias, Giacomo ^{[2
]}

Ruffaldi, Emanuele ^{[2
]}

Avizzano, Carlo A. ^{[2
]}

机构：

[1] Scuola Super Sant Anna, Gustavo Stefanini Adv Robot Res Ctr, Pisa, Italy

[2] Scuola Super Sant Anna, PERCeptual RObot Lab, Pisa, Italy

来源：

2015 INTERNATIONAL CONFERENCE ON INTELLIGENT ENVIRONMENTS IE 2015 | 2015年

关键词：

D O I：

10.1109/IE.2015.29

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：140 / 143

页数：4

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