Artificial Intelligence in Precision Poultry Farming: A Scientometric Analysis of Emerging Research Trends

DOI: 10.22161/ijeab.114.31

Abstract:
Artificial intelligence (AI) and digital technologies are increasingly reshaping poultry production through automated monitoring, precision management, and data-driven decision-making. This study quantitatively examines the development and emerging trends in AI-enabled poultry research using a scientometric approach. Literature was retrieved from PubMed using seven technology-focused search strategies covering AI, computer vision, IoT, sensors, robotics, precision farming, and automated disease detection. The initial search identified 3,049 records. After removing 425 duplicate records, 2,624 unique records were retained for the subsequent scientometric analysis. The results revealed a strong and accelerating growth in research, particularly after 2020, with publication output reaching approximately 500 papers in 2025. England, Switzerland, and the United States were the leading contributing countries, while Poultry Science, Sensors, and Animals were major publication journals. Author analysis revealed a concentration of research productivity among leading contributors, particularly Wang, Zhang, Liu, and Li. Overall, the findings demonstrate the rapid transition of poultry research from conventional management toward AI-driven, automated, and precision-oriented production systems. The increasing integration of AI with computer vision, IoT, intelligent sensing, and automation highlights the emergence of an interdisciplinary research frontier with considerable potential for advancing efficient, sustainable, and intelligent poultry production.

Keywords:
Artificial intelligence, Poultry Farming, sensors, robotics, precision farming

Article Info:
Received: 09 Jul 2026; Received in revised form: 07 Aug 2026; Accepted: 12 Aug 2026; Available online: 19 Aug 2026

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