| Full text | |
| Author(s): |
Denise Trevisoli Detsch
[1]
;
Dante Conti
[2]
;
Maria Aparecida Diniz-Ehrhardt
[3]
;
José Mario Martínez
[4]
Total Authors: 4
|
| Affiliation: | [1] Federal University of Paraná. Department of Engineering and Exact - Brasil
[2] State University of Campinas. Institute of Mathematics, Statistics and Scientific Computing. Dept. of Applied Mathematics - Brasil
[3] State University of Campinas. Institute of Mathematics, Statistics and Scientific Computing. Dept. of Applied Mathematics - Brasil
[4] State University of Campinas. Institute of Mathematics, Statistics and Scientific Computing. Dept. of Applied Mathematics - Brasil
Total Affiliations: 4
|
| Document type: | Journal article |
| Source: | Scientia Agricola; v. 75, n. 6, p. 445-451, 2018-12-00. |
| Abstract | |
ABSTRACT: Environmental conditions in broiler houses, specifically temperature, are key factors that should be controlled to ensure appropriate environment for broiler rearing. In countries with tropical/subtropical climate, like Brazil, high temperatures produce heat stress to animals, affecting the production process. This research proposes a real-time model to control temperature inside broiler houses. The controller is a self-correcting model that makes real-time decisions on the ventilation system operation (exhaust fans) together with temperature prediction at the facility. The model involves partial differential equations (PDE) whose parameters are updated according to data registered in real-time. Some experiments were carried out at a pilot farm in the municipality of Jundiaí, São Paulo State, Brazil, for different periods during winter and summer. The results based on simulations in comparison with the current automatic ventilation system show that the model is consistent to keep temperature under control for an efficient production. The model achieved a bias of 0.6 °C on average in comparison with the ideal temperature, whereas the automatic controller measured a bias of 3.3 °C, respectively. Future lines suggest that this approach could be useful in many other situations that involve environmental control for livestock production. (AU) | |
| FAPESP's process: | 13/03447-6 - Combinatorial structures, optimization, and algorithms in theoretical Computer Science |
| Grantee: | Carlos Eduardo Ferreira |
| Support Opportunities: | Research Projects - Thematic Grants |
| FAPESP's process: | 13/07375-0 - CeMEAI - Center for Mathematical Sciences Applied to Industry |
| Grantee: | Francisco Louzada Neto |
| Support Opportunities: | Research Grants - Research, Innovation and Dissemination Centers - RIDC |
| FAPESP's process: | 10/10133-0 - Cutting, packing, lot-sizing and scheduling problems and their integration in industrial and logistics settings |
| Grantee: | Reinaldo Morabito Neto |
| Support Opportunities: | Research Projects - Thematic Grants |
| FAPESP's process: | 13/05475-7 - Computational methods in optimization |
| Grantee: | Sandra Augusta Santos |
| Support Opportunities: | Research Projects - Thematic Grants |