Cargando...
Fecha
2025-04-27
Derechos de acceso
info:eu-repo/semantics/openAccess
Título de la revista
ISSN de la revista
Título del volumen
Editorial
MDPI
Citas
Resumen
In medium- and large-scale poultry farms, automated systems optimize key processes, from egg production and grading to environmental control, reducing manual labor and ensuring an optimal environment for the birds. However, these technologies remain largely inaccessible to small family farms due to high implementation costs. In particular, the selection of laying hens, an essential process for productivity, is still performed manually and requires considerable time and effort. This study presents the development of a modular, low-cost, and minimally invasive IoT system for the automatic detection of laying hens in family-run poultry farms. Additionally, the system enables environmental monitoring and utilizes LoRaWAN networks for efficient long-range data transmission. The collected data are stored on a centralized platform and integrated with web, mobile, and messaging applications to provide real-time access to information. The modular system architecture, developed using open-source software, ensures replicability, scalability, and adaptability to different production environments. The feasibility of the system has been validated through field trials in a real-world environment, demonstrating effective performance, low implementation costs, and high farmer satisfaction, with the user highlighting its positive impact on poultry farm management.
Descripción
The registered version of this article, first published in “Applied Sciences, vol. 15, 2025", is available online at the publisher's website: MDPI, https://doi.org/ 10.3390/app15094856
La versión registrada de este artículo, publicado por primera vez en “Applied Sciences, vol. 15, 2025", está disponible en línea en el sitio web del editor: MDPI, https://doi.org/ 10.3390/app15094856
La versión registrada de este artículo, publicado por primera vez en “Applied Sciences, vol. 15, 2025", está disponible en línea en el sitio web del editor: MDPI, https://doi.org/ 10.3390/app15094856
Categorías UNESCO
Palabras clave
IoT, LoRaWAN, family poultry farming, laying hen
Citación
Finistrosa, R.; Mañoso, C.; de Madrid, Á.P.; Romero, M. Low-Cost IoT and LoRaWAN-Based System for Laying Hen Identification in Family Poultry Farms. Appl. Sci. 2025, 15, 4856. https://doi.org/ 10.3390/app15094856
Centro
Escuela Técnica Superior de Ingeniería Informática
Departamento
Sistemas de Comunicación y Control