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1. Estimation of patterns in weaned piglets' activity using spectral analysis

Author:
Besteiro, Roberto,   et al.   ; Arango, Tamara; Rodríguez, Manuel R.; Fernández, María D.; Velo, Ramón;     Show all 5 Authors
Source:
Biosystems engineering 2018 v.173 pp. 85-92
ISSN:
1537-5110
Subject:
animal age; animal welfare; carbon dioxide; cost effectiveness; detectors; emissions; farmers; models; periodicity; piglets; pollutants; prediction; spectral analysis; temperature; wavelet
Abstract:
... The activity level of weaned piglets provides a useful tool for farmers to control animal welfare and pollutant emissions. In addition, data for weaned piglet activity can be used as an input signal in real-time ventilation control systems because of its relation to temperature and CO2 levels. This paper characterises the daily activity pattern of piglets from 6 to 20 kg live body mass based on da ...
DOI:
10.1016/j.biosystemseng.2017.06.014

2. Validation of an AutoRegressive Integrated Moving Average model for the prediction of animal zone temperature in a weaned piglet building

Author:
Besteiro, Roberto,   et al.   ; Ortega, Juan A.; Losada, Eugenio; Arango, Tamara; Ginzo-Villamayor, Maria J.; Velo, Ramon; Fernandez, Maria D.; Rodriguez, Manuel R.;     Show all 8 Authors
Source:
Biosystems engineering 2018 v.174 pp. 231-238
ISSN:
1537-5110
Subject:
air temperature; animal welfare; barns; energy conservation; environmental factors; heat; meteorological parameters; model validation; models; piglets; prediction; ventilation systems
Abstract:
... An AutoRegressive Integrated Moving Average model was validated for the prediction of temperatures in the animal zone of conventional weaned piglet barn. The validation period covered seven cycles and recorded values at 10-min intervals for 292 days. Average weight was 5.75 ± 0.86 kg at the beginning of the production cycle and 18.41 ± 2.12 kg at the end of the cycle. Mean outdoor air temperatures ...
DOI:
10.1016/j.biosystemseng.2018.07.012

3. Prediction of carbon dioxide concentration in weaned piglet buildings by wavelet neural network models

Author:
Besteiro, Roberto,   et al.   ; Arango, Tamara; Ortega, J. Antonio; Rodríguez, M. Ramiro; Fernández, M. Dolores; Velo, Ramón;     Show all 6 Authors
Source:
Computers and electronics in agriculture 2017 v.143 pp. 201-207
ISSN:
0168-1699
Subject:
air; air quality; animal welfare; buildings; carbon dioxide; environmental factors; farms; neural networks; piglets; prediction; temperature; wavelet; weanlings
Abstract:
... Carbon dioxide concentration is a major factor in air quality, animal welfare and air exchange rates inside livestock buildings. CO2 concentration series show a dynamic, non-linear and non-stationary behavior. This type of process can be handled by Wavelet Neural Network (WNN) models, which have been developed in recent years. The purpose of this paper is to develop WNN models capable of predictin ...
DOI:
10.1016/j.compag.2017.10.025