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Sensors 2013, 13(9), 12132-12139; doi:10.3390/s130912132

Sensors in Agriculture and Forestry

Department of Software Engineering and Artificial Intelligence, Faculty of Informatics, University Complutense of Madrid, 28040 Madrid, Spain
Department of Agriculture, Food and Environment, University of Pisa, Via S. Michele degli Scalzi 2, 56124 Pisa, Italy
Centre for Automation and Robotics (UPM-CSIC), Arganda del Rey 28500, Madrid, Spain
Authors to whom correspondence should be addressed.
Received: 5 September 2013 / Accepted: 9 September 2013 / Published: 10 September 2013
(This article belongs to the Special Issue Sensor-Based Technologies and Processes in Agriculture and Forestry)
View Full-Text   |   Download PDF [118 KB, 21 June 2014; original version 21 June 2014]
Note: In lieu of an abstract, this is an excerpt from the first page.


Agriculture and Forestry are two broad and promising areas demanding technological solutions with the aim of increasing production or accurate inventories for sustainability while the environmental impact is minimized by reducing the application of agro-chemicals and increasing the use of environmental friendly agronomical practices. In addition, the immediate consequence of this “trend” is the reduction of production costs. [...]
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Pajares, G.; Peruzzi, A.; Gonzalez-de-Santos, P. Sensors in Agriculture and Forestry. Sensors 2013, 13, 12132-12139.

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