| Full text | |
| Author(s): |
de Castro Junior, Sergio Luis
;
Balthazar, Glauber da Rocha
;
Silveira, Robson Mateus Freitas
;
da Silva, Iran Jose Oliveira
Total Authors: 4
|
| Document type: | Journal article |
| Source: | POULTRY SCIENCE; v. 103, n. 7, p. 12-pg., 2024-05-14. |
| Abstract | |
Although it is well known that incubation environment has a great in fluence on embryogenesis and post-hatching performance of birds, not much is known about how external thermal, sound and light stimuli are isolated by eggshells and perceived by embryos. In this context, this study aimed to develop, calibrate and evaluate a multilevel sensor for integrated monitoring of the external (incubator) and internal environment of eggs. The variables of interest for the external environment were air temperature and relative humidity. For the internal environment, shell temperature, internal temperature, luminosity and sound pressure level were considered. The sensor was developed with an ATmega328 microcontroller, in open-source prototyping, using electronic components which are compatible with the egg 's physical structure. Calibrations were carried out in a controlled environment, comparing the multilevel sensor with commercial equipment, obtaining coefficients of determination of R-2 > 0.90 for all variables studied. The multilevel sensor was also validated, simulating a commercial incubation situation and comparing eggs with 2 shell colors (white and brown) and internal volume (intact and empty). Validation results showed that white-shelled eggs insulate less external light ( P < 0.001) and full eggs presented higher internal temperatures, greater light and lower sound pressure levels compared to empty eggs ( P < 0.001). The multilevel sensor developed here is an innovative proposal for monitoring, simultaneously and in real time, different variables of interest in the commercial incubation environment. (AU) | |
| FAPESP's process: | 22/07442-8 - Intelligent systems: predictive modeling and internet of things for animal production in agriculture 4.0 |
| Grantee: | Iran José Oliveira da Silva |
| Support Opportunities: | Regular Research Grants |