Low-Cost IoT and LoRaWAN-Based System for Laying Hen Identification in Family Poultry Farms
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...
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MDPI AG
2025-04-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/15/9/4856 |
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| author | Roberto Finistrosa Carolina Mañoso Ángel P. de Madrid Miguel Romero |
| author_facet | Roberto Finistrosa Carolina Mañoso Ángel P. de Madrid Miguel Romero |
| author_sort | Roberto Finistrosa |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-9dfd28922f494e8fb96b53b94ee7276e |
| institution | OA Journals |
| issn | 2076-3417 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-9dfd28922f494e8fb96b53b94ee7276e2025-08-20T01:49:09ZengMDPI AGApplied Sciences2076-34172025-04-01159485610.3390/app15094856Low-Cost IoT and LoRaWAN-Based System for Laying Hen Identification in Family Poultry FarmsRoberto Finistrosa0Carolina Mañoso1Ángel P. de Madrid2Miguel Romero3Control and Communication Systems Department, Universidad Nacional de Educación a Distancia (UNED), Juan del Rosal 16, 28040 Madrid, SpainControl and Communication Systems Department, Universidad Nacional de Educación a Distancia (UNED), Juan del Rosal 16, 28040 Madrid, SpainControl and Communication Systems Department, Universidad Nacional de Educación a Distancia (UNED), Juan del Rosal 16, 28040 Madrid, SpainControl and Communication Systems Department, Universidad Nacional de Educación a Distancia (UNED), Juan del Rosal 16, 28040 Madrid, SpainIn 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.https://www.mdpi.com/2076-3417/15/9/4856IoTLoRaWANfamily poultry farminglaying hen |
| spellingShingle | Roberto Finistrosa Carolina Mañoso Ángel P. de Madrid Miguel Romero Low-Cost IoT and LoRaWAN-Based System for Laying Hen Identification in Family Poultry Farms Applied Sciences IoT LoRaWAN family poultry farming laying hen |
| title | Low-Cost IoT and LoRaWAN-Based System for Laying Hen Identification in Family Poultry Farms |
| title_full | Low-Cost IoT and LoRaWAN-Based System for Laying Hen Identification in Family Poultry Farms |
| title_fullStr | Low-Cost IoT and LoRaWAN-Based System for Laying Hen Identification in Family Poultry Farms |
| title_full_unstemmed | Low-Cost IoT and LoRaWAN-Based System for Laying Hen Identification in Family Poultry Farms |
| title_short | Low-Cost IoT and LoRaWAN-Based System for Laying Hen Identification in Family Poultry Farms |
| title_sort | low cost iot and lorawan based system for laying hen identification in family poultry farms |
| topic | IoT LoRaWAN family poultry farming laying hen |
| url | https://www.mdpi.com/2076-3417/15/9/4856 |
| work_keys_str_mv | AT robertofinistrosa lowcostiotandlorawanbasedsystemforlayinghenidentificationinfamilypoultryfarms AT carolinamanoso lowcostiotandlorawanbasedsystemforlayinghenidentificationinfamilypoultryfarms AT angelpdemadrid lowcostiotandlorawanbasedsystemforlayinghenidentificationinfamilypoultryfarms AT miguelromero lowcostiotandlorawanbasedsystemforlayinghenidentificationinfamilypoultryfarms |