Precision Livestock Farming and Artificial Intelligence for Sustainable Livestock Systems
A special issue of Agriculture (ISSN 2077-0472). This special issue belongs to the section "Digital Agriculture".
Deadline for manuscript submissions: 20 September 2025 | Viewed by 155
Special Issue Editors
Interests: precision livestock farming; animal welfare; sensors; sustainable livestock systems; geotechnologies; animal physiology; reproduction; artificial intelligence
Interests: precision livestock farming; animal welfare; sensors; sustainable livestock systems; animal physiology; reproduction
Special Issue Information
Dear Colleagues,
Livestock farming is undergoing a significant transformation driven by the ongoing agricultural and livestock technological revolution. In this evolving landscape, Precision Livestock Farming (PLF) has emerged as a groundbreaking paradigm, leveraging advanced sensors, actuators, and data-driven methodologies to enhance farm management and decision-making.
One of the key aspects of PLF is the real-time monitoring of animal behavior, physiology, welfare, and productivity, which plays a crucial role in developing more sustainable livestock systems based on environmental, social, and economic perspectives. The integration of sensor-based technologies, such as wearable sensors, image analysis, and bioacoustics monitoring, allows for the continuous collection of vast amounts of data, which requires advanced computational techniques to process, interpret, and apply this information effectively.
In this context, Artificial Intelligence (AI) is revolutionizing PLF by providing robust tools for data analysis, predictive modeling, and automated decision-making. Machine learning algorithms, deep learning techniques, and computer vision applications enable unprecedented levels of precision in livestock monitoring. These advancements facilitate early disease detection, stress assessment, automated feeding systems, and individualized animal care strategies, ultimately leading to more efficient, resilient, and sustainable livestock production.
This Special Issue aims to bring together innovative research at the intersection of PLF, AI, and data analytics, highlighting the latest innovations in sensor technology, real-time data processing, and smart decision-making frameworks. By fostering interdisciplinary collaboration, this collection of studies will contribute to the development of next-generation livestock farming systems that balance productivity with ethical and environmental considerations.
Dr. Javier Plaza
Prof. Dr. Carlos Palacios Riocerezo
Guest Editors
Manuscript Submission Information
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Keywords
- precision livestock farming
- artificial intelligence
- automatization
- deep learning
- machine learning
- sensors
- computer vision
- sustainable livestock systems
- animal welfare
- animal behavior
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