The Transformative Impact of Artificial Intelligence and Sensor Technologies on Dairy Livestock Exports

This study explores the transformative impact of artificial intelligence (AI) and sensor technologies on dairy livestock exports. AI-based predictive analytics, automatic milking systems (AMS), and IoT sensors demonstrate significant potential for enhancing operational efficiency, animal welfare, and environmental sustainability. The research investigates the effects of these technologies on animal health management, disease detection, and monitoring while evaluating the challenges and limitations associated with their implementation. Furthermore, the discussion extends to addressing environmental stress factors caused by climate change and the effects of fluctuating global market demands. Future research directions include explainable AI (XAI), IoT and blockchain integration, ethical frameworks, climate-resilient technologies, and policy recommendations. The findings underscore the potential of AI and sensor technologies to revolutionize dairy livestock exports by fostering sustainability and productivity, emphasizing the need for collective action among stakeholders. The increasing global demand for dairy livestock exports necessitates innovative solutions to address challenges related to operational efficiency, animal welfare, and environmental sustainability. Artificial intelligence (AI) and sensor technologies, including predictive analytics, automatic milking systems (AMS), and Internet of Things (IoT) sensors, have the potential to revolutionize livestock management. This study examines the impact of these technologies on disease detection, real-time monitoring, and logistics optimization while addressing challenges such as data security, cost implications, and regulatory constraints. The discussion extends to climate change-related stress factors and global market fluctuations. Future research should focus on explainable AI (XAI), blockchain-enabled traceability, climate-resilient innovations, and policy frameworks. The findings emphasize the need for multi-stakeholder collaboration to leverage AI and sensor technologies for a sustainable and efficient dairy livestock export industry.

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Publication Details

Journal
Black Sea Journal of Agriculture
Published
2025-07-12
DOI
https://doi.org/10.47115/bsagriculture.1640879
Citations
1
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
3.25
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article

The Transformative Impact of Artificial Intelligence and Sensor Technologies on Dairy Livestock Exports

Hatice Dilaver, Kamil Fatih Dilaver
1 citations
Black Sea Journal of Agriculture
Blockchain Technology Applications and Security
3.25
article

The Transformative Impact of Artificial Intelligence and Sensor Technologies on Dairy Livestock Exports

Hatice Dilaver, Kamil Fatih Dilaver
article en
1 citations

Abstract

This study explores the transformative impact of artificial intelligence (AI) and sensor technologies on dairy livestock exports. AI-based predictive analytics, automatic milking systems (AMS), and IoT sensors demonstrate significant potential for enhancing operational efficiency, animal welfare, and environmental sustainability. The research investigates the effects of these technologies on animal health management, disease detection, and monitoring while evaluating the challenges and limitations associated with their implementation. Furthermore, the discussion extends to addressing environmental stress factors caused by climate change and the effects of fluctuating global market demands. Future research directions include explainable AI (XAI), IoT and blockchain integration, ethical frameworks, climate-resilient technologies, and policy recommendations. The findings underscore the potential of AI and sensor technologies to revolutionize dairy livestock exports by fostering sustainability and productivity, emphasizing the need for collective action among stakeholders. The increasing global demand for dairy livestock exports necessitates innovative solutions to address challenges related to operational efficiency, animal welfare, and environmental sustainability. Artificial intelligence (AI) and sensor technologies, including predictive analytics, automatic milking systems (AMS), and Internet of Things (IoT) sensors, have the potential to revolutionize livestock management. This study examines the impact of these technologies on disease detection, real-time monitoring, and logistics optimization while addressing challenges such as data security, cost implications, and regulatory constraints. The discussion extends to climate change-related stress factors and global market fluctuations. Future research should focus on explainable AI (XAI), blockchain-enabled traceability, climate-resilient innovations, and policy frameworks. The findings emphasize the need for multi-stakeholder collaboration to leverage AI and sensor technologies for a sustainable and efficient dairy livestock export industry.

Black Sea Journal of AgricultureVol. 8(4)
Niğde Ömer Halisdemir Üniversitesi (TR)
Openalex Percentile: Top 8%
Blockchain Technology Applications and Security
3.25
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