Publisher Muhammed Akatay akatay@feedandadditive.com Responsible Manager Özlem Akatay ozlem@feedandadditive.com Editor-in-Chief Derya Yıldız derya@feedandadditive.com Editors Burak Varol Zeynep Demirkaya editor@feedandadditive.com Communication & Marketing Lisa Atakul marketing@feedandadditive.com Design Alper Kandemir graphic@feedandadditive.com Web Design Caner Cem Pulat web@threeplusmedia.com Circulation and Data Responsible Amine Şengün sm@threeplusmedia.com Ataturk St. Metropol Istanbul Ste. Block C1, No:376 Atasehir, Istanbul/TURKEY Phone: +90 850 220 5064 E-Mail: info@feedandadditive.com Web: www.feedandadditive.com Publication Type: Periodic (Monthly) EDITOR As Feed & Additive Magazine, we would like to express our sincere thanks to all our readers, contributors, and supporters as we enter the New Year. Your insights, expertise and commitment have made this publication a vital resource for the industry and we are deeply grateful for your continued engagement. 2025 promises unprecedented change, driven by rapid advances in artificial intelligence (AI) and digital technologies. These innovations are not only reshaping industries, but also redefining our daily lives. The pace of change is breathtaking and is opening up new possibilities and routes for growth that were once limited to the realm of imagination. The livestock and animal nutrition sector is no exception to these current developments. Artificial intelligence and digital technologies have immense potential to address some of the most pressing challenges in our field. Here are a few key areas where we can expect to see significant impact: - Precision Livestock Farming: AI-powered sensors and data analytics can provide real-time insights into animal health, behaviour and feed intake, allowing farmers to make more informed decisions and optimise resource usage. This can lead to improved animal welfare, reduced mortality and increased productivity. - Feed Formulation and Optimisation: AI algorithms can analyse vast datasets on feed ingredients, nutritional requirements and production costs to develop optimal feed formulations that maximise animal performance while minimising environmental impact. - Disease Prediction and Prevention: AI can analyse historical data and identify patterns to predict disease outbreaks. This can enable proactive interventions by farmers and contribute to reducing the usage of antibiotics. - Supply Chain Management: AI-driven solutions can optimise feed procurement, logistics and distribution, enhancing efficiency and reducing costs throughout the supply chain. We believe that the integration of these technologies is no longer just a matter of convenience, but a necessity in order to remain competitive in an increasingly complex global market. The ability to make data-driven decisions, forecast market trends and innovate with agility will determine tomorrow's leaders. As we embrace this new era of possibilities, we remember the vital role that knowledge sharing and collaboration play in enabling progress. In the spirit of innovation and growth, let us continue to explore, adapt and advance together. We look forward to a year of success and transformation for the livestock and animal nutrition industry. Happy New Year! New Year, New Horizons Derya YILDIZ © Three Plus Media | All rights reserved. Reproduction, in whole or in part, is prohibited without the written permission of the publisher. *DISCLAIMER: All views and ideas expressed in articles published in the magazine reflect the point of views of the author(s), not that of the Editor-in-Chief, Editors, Editorial Board or Publisher of Feed & Additive Magazine. The Editor-in-Chief, Editors, Editorial Board and Publisher assume no responsibility or liability in such cases. The publisher does not give any warranty and representation to the accuracy or completeness of the contents and data published in the magazine. All responsibility of the contents, articles and information published in the magazine belongs to the authors. The publisher and the authors cannot be held responsible for any damages resulting from the use of the whole or part of the content of the magazine. feedandadditive
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