ARTIFICIAL INTELLIGENCE POLICY AND ANIMAL NUTRITION CASE OF DR ECKEL ANIMAL NUTRITION IN NIEDERZISSEN, GERMANY

The main objective of this study is to analyze the impact of artificial intelligence on animal feeding policy, with a specific focus on, case study of Dr. Eckel Animal Nutrition Company. The goal is to assess how an AI policy impacts automated milking, health monitoring, the food supply chain, and feed quality in the company. The study uses descriptive and correlational research designs, based on theories like the theory of constraints and the theory of change. Data collection involved surveying 138 community project groups and 24 specialists, with analysis using descriptive statistics, regression analysis, and content analysis. The results show a positive relationship between AI policy and quality improvement in the dairy market, indicating significant support for food development. Additionally, the study reveals a connection between health policy and livestock development and the impact of AI policy on intellectual property rights in the food industry and livestock production. Finally, the implementation of AI policy demonstrates a clear link to progress in animal nutrition, particularly in terms of blockchain technology's influence on price prediction and animal development. These findings highlight the transformative potential of AI in enhancing animal nutrition and driving positive changes in the industry.