VERDE, MARIA TERESA (2025) Innovative Sensors and Advanced Engineering Solutions to Enhance Animal Welfare, Production and Sustainability in Dairy Buffalo Livestock Farming. [Tesi di dottorato]
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| Tipologia del documento: | Tesi di dottorato |
|---|---|
| Lingua: | English |
| Titolo: | Innovative Sensors and Advanced Engineering Solutions to Enhance Animal Welfare, Production and Sustainability in Dairy Buffalo Livestock Farming |
| Autori: | Autore Email VERDE, MARIA TERESA mariateresa.verde@unina.it |
| Data: | 10 Febbraio 2025 |
| Numero di pagine: | 217 |
| Istituzione: | Università degli Studi di Napoli Federico II |
| Dipartimento: | Ingegneria Elettrica e delle Tecnologie dell'Informazione |
| Dottorato: | Information technology and electrical engineering |
| Ciclo di dottorato: | 37 |
| Coordinatore del Corso di dottorato: | nome email RUSSO, STEFANO STEFANO.RUSSO@UNINA.IT |
| Tutor: | nome email ANGRISANI, LEOPOLDO [non definito] |
| Data: | 10 Febbraio 2025 |
| Numero di pagine: | 217 |
| Parole chiave: | Precision Livestock Farming, Environmental Sustainability,AnimalWelfare, Farm Digital Twin, Artificial Intelligence, Statistical Model. |
| Settori scientifico-disciplinari del MIUR: | Area 09 - Ingegneria industriale e dell'informazione > ING-INF/07 - Misure elettriche e elettroniche |
| Informazioni aggiuntive: | appartengo al ciclo 37 |
| Depositato il: | 25 Feb 2025 17:44 |
| Ultima modifica: | 12 Ago 2026 05:38 |
| URI: | https://www.fedoa.unina.it/id/eprint/16686 |
Abstract
The global population increase and rising economic availability have driven higher demand for meat and its derivatives, leading to the expansion of intensive farming systems. While these systems optimize production at lower costs, they pose significant challenges, such as deteriorating animal health and welfare, reduced product quality, and increased greenhouse gas emissions (methane, ammonia). This research addresses these challenges through the application of Precision Livestock Farming (PLF) techniques, focusing on Italian Mediterranean buffalo farming in the Campania Region, a key sector for the production of Mozzarella di Bufala Campana DOP. To tackle these issues, various methodologies were developed using innovative technologies, including thermal cameras, environmental sensors, sniffers, and biochemical analyses, to collect data in real-world contexts. These data were then analyzed with statistical models and artificial intelligence to ensure the accuracy and reliability of the proposed solutions.The developed methodologies include a reliable system for diagnosing subclinical mastitis using infrared thermography and artificial intelligence, an advanced approach for detecting animal stress through cortisol analysis, a precise method for measuring feed intake with 3D cameras, and effective systems for monitoring methane and ammonia emissions. These innovations significantly enhance animal health and welfare, improve production efficiency, and reduce the environmental impact of buffalo farming. The integration of these technologies into a unified platform represents a pivotal step toward creating a Digital Twin of the Farm, a virtual model designed to optimize farm management, improve animal welfare, and promote environmental sustainability. This holistic approach contributes to sustainable and innovative livestock farming, meeting future challenges while respecting animals and the environment.
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