Time Series Forecast Model Application for Broiler Weight Prediction Using Environmental Factors
2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME 2022) 2022
Signe Bāliņa, Ilze Birzniece, Ilze Andersone, Agris Ņikitenko, Andris Ķikāns

Predicting the growth of broiler chickens is an essential task in the poultry industry. The data used in the study include both the production environmental indicators (temperature, gas concentration, humidity, and others) and the growth rates of poultry (weight, amount of feed consumed, fall) by analyzing their correlations throughout several production cycles. The proposed approach includes several stages, starting with data pre-processing, broiler weight data augmentation, comparison with a reference model, definition, and detection of uncomfortable and dangerous environmental conditions. For the model-building part, the Long short-term memory (LSTM) artificial neural network is applied. The validation of the forecasting model is done by comparing the forecasted weight provided by the model with the actual weight measurements during the randomly selected bird life cycle and varied environmental conditions. The acquired results showed that the provided forecast accuracy is sufficient for production management.


Keywords
Weight measurement, Temperature distribution, Production management, Mechatronics, Computational modeling, Time series analysis, Humidity
DOI
10.1109/ICECCME55909.2022.9988243
Hyperlink
https://ieeexplore.ieee.org/document/9988243

Bāliņa, S., Birzniece, I., Andersone, I., Ņikitenko, A., Ķikāns, A. Time Series Forecast Model Application for Broiler Weight Prediction Using Environmental Factors. In: 2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME 2022), Spain, Maldives, 16-18 November, 2022. Piscataway: IEEE, 2022, pp.1-7. ISBN 978-1-6654-7095-7. e-ISBN 978-1-6654-7096-4. Available from: doi:10.1109/ICECCME55909.2022.9988243

Publication language
English (en)
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