Sensors | |
An Automatic Weighting System for Wild Animals Based in an Artificial Neural Network: How to Weigh Wild Animals without Causing Stress | |
Diego Francisco Larios3  Carlos Rodríguez2  Julio Barbancho3  Manuel Baena1  Miguel Ángel Leal3  Jesús Marín2  Carlos León3  | |
[1] ICTS, Singular Scientific and Technological Infrastructure, Estación Biológica de Doñana (EBD-CSIC), 41092 Seville, Spain; E-Mail:;Department of Wetland Ecology, Estación Biológica de Doñana (EBD-CSIC), 41092 Seville, Spain; E-Mails:;Department of Electronic Technology, University of Seville, 41011 Seville, Spain; E-Mails: | |
关键词: sensor network; habitat monitoring; neural networks; computational intelligence; | |
DOI : 10.3390/s130302862 | |
来源: mdpi | |
【 摘 要 】
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 (
【 授权许可】
CC BY
© 2013 by the authors; licensee MDPI, Basel, Switzerland.
【 预 览 】
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RO202003190038065ZK.pdf | 1279KB | download |