Application of Intelligent Technologies in Farm Animal Disease, Feeding and Building Environmental Control
A special issue of Agriculture (ISSN 2077-0472). This special issue belongs to the section "Farm Animal Production".
Deadline for manuscript submissions: 30 November 2025 | Viewed by 636
Special Issue Editors
Interests: cow; goat; veterinary medicine; animal health; disease warning; intelligent diagnosis; image recognition
Interests: smart livestock farming; animal health surveillance and early warning; automated phenotyping of livestock; livestock behavior recognition
Special Issue Information
Dear Colleagues,
Traditional livestock farming has long faced problems regarding inaccurate environmental control (lagging regulation of temperature, humidity, and harmful gases), a dependence on manual experience for disease prevention and control (leading to high misdiagnosis rates and strong lag), and low feed utilization rates (with waste rates averaging 15%–20%), resulting in low production efficiency, reduced economic benefits, and intensified environmental pollution on farms. The application of intelligent technologies provides technical support that makes it possible to accurately identify the physiological states of individual animals (such as their heart rate, body temperature, and rumination frequency), to regulate breeding environments in real time (by linking ventilation and temperature control systems), and to construct disease warning models.
This Special Issue aims to highlight impactful research and commentary with a focus on using intelligent technologies to improve farm production efficiency and resource utilization, to ensure animal health and welfare, and to build sustainable ecosystems. It will fully embrace inter- and trans-disciplinary studies from multiple disciplines (e.g., animal disease, animal nutrition, environmental sciences, and artificial intelligence).
Research articles will cover a broad range of farm animals including cows, goats, sheep, swine, poultry, and other farmed animals. All types of articles, from original research to opinions and reviews, are welcome.
Prof. Dr. Liqiang Han
Dr. Shuqing Han
Dr. Xuemei Nan
Guest Editors
Manuscript Submission Information
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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Agriculture is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- animal disease
- animal feeding
- environmental control
- smart livestock farming
- intelligent agricultural equipment
- animal health surveillance and early warning
- image recognition
- livestock behavior recognition
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