RT Journal Article
T1 Evolution and neural network prediction of CO2 emissions in weaned piglet farms
A1 Rodríguez Rodríguez, Manuel Ramiro
A1 Besteiro, Roberto
A1 Ortega Martínez, Juan Antonio
A1 Fernández Rodríguez, María Dolores
A1 Arango López, Tamara
K1 CO2 concentration
K1 CO2 emission
K1 Neural network
K1 Weaned piglets
K1 Post weaning cycle
AB This paper aims to study the evolution of CO2 concentrations and emissions on a conventional farm with weaned piglets between 6.9 and 17.0 kg live weight based on setpoint temperature, outdoor temperature, and ventilation flow. The experimental trial was conducted during one transition cycle. Generally, the ventilation flow increased with the reduction in setpoint temperature throughout the cycle, which caused a reduction in CO2 concentration and an increase in emissions. The mean CO2 concentration was 3.12 g m–3. Emissions of CO2 had a mean value of 2.21 mg s−1 per animal, which is equivalent to 0.195 mg s−1 kg−1. A potential function was used to describe the interaction between 10 min values of ventilation flow and CO2 concentrations, whereas a linear function was used to describe the interaction between 10 min values of ventilation flow and CO2 emissions, with r values of 0.82 and 0.85, respectively. Using such equations allowed for simple and direct quantification of emissions. Furthermore, two prediction models for CO2 emissions were developed using two neural networks (for 10 min and 60 min predictions), which reached r values of 0.63 and 0.56. These results are limited mainly by the size of the training period, as well as by the differences between the behavior of the series in the training stage and the testing stage
PB MDPI
SN 1424-8220
YR 2022
FD 2022
LK http://hdl.handle.net/10347/30189
UL http://hdl.handle.net/10347/30189
LA spa
NO Rodriguez, M.R.; Besteiro, R.; Ortega, J.A.; Fernandez, M.D.; Arango, T. Evolution and Neural Network Prediction of CO2 Emissions in Weaned Piglet Farms. Sensors 2022, 22, 2910. https://doi.org/10.3390/s22082910
NO This research was funded by Consellería de Educación, Universidade e Formación Profesional and Consellería de Economía, Emprego e Industria from the Galician Government (Xunta de Galicia). Granted with reference ED431B 2018/12-GPC
DS Minerva
RD 28 abr 2026