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Sensors 2013, 13(3), 2862-2883; doi:10.3390/s130302862

An Automatic Weighting System for Wild Animals Based in an Artificial Neural Network: How to Weigh Wild Animals without Causing Stress

1
Department of Electronic Technology, University of Seville, 41011 Seville, Spain
2
Department of Wetland Ecology, Estación Biológica de Doñana (EBD-CSIC), 41092 Seville, Spain
3
ICTS, Singular Scientific and Technological Infrastructure, Estación Biológica de Doñana (EBD-CSIC), 41092 Seville, Spain
*
Author to whom correspondence should be addressed.
Received: 17 December 2012 / Revised: 22 February 2013 / Accepted: 25 February 2013 / Published: 28 February 2013
(This article belongs to the Section Sensor Networks)
View Full-Text   |   Download PDF [1280 KB, 21 June 2014; original version 21 June 2014]   |  

Abstract

This paper proposes a novel and autonomous weighing system for wild animals. It allows evaluating changes in the body weight of animals in their natural environment without causing stress. The proposed system comprises a smart scale designed to estimate individual body weights and their temporal evolution in a bird colony. The system is based on computational intelligence, and offers valuable large amount of data to evaluate the relationship between long-term changes in the behavior of individuals and global change. The real deployment of this system has been for monitoring a breeding colony of lesser kestrels (Falco naumanni) in southern Spain. The results show that it is possible to monitor individual weight changes during the breeding season and to compare the weight evolution in males and females.
Keywords: sensor network; habitat monitoring; neural networks; computational intelligence sensor network; habitat monitoring; neural networks; computational intelligence
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

Larios, D.F.; Rodríguez, C.; Barbancho, J.; Baena, M.; Leal, M.Á.; Marín, J.; León, C.; Bustamante, J. An Automatic Weighting System for Wild Animals Based in an Artificial Neural Network: How to Weigh Wild Animals without Causing Stress. Sensors 2013, 13, 2862-2883.

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