{"id":221901,"date":"2026-03-10T06:40:00","date_gmt":"2026-03-10T10:40:00","guid":{"rendered":"https:\/\/news-you-need.com\/index.php\/2026\/03\/10\/united-states-artificial-intelligence-ai-in-precision\/"},"modified":"2026-03-10T06:55:10","modified_gmt":"2026-03-10T10:55:10","slug":"united-states-artificial-intelligence-ai-in-precision","status":"publish","type":"post","link":"https:\/\/news-you-need.com\/index.php\/2026\/03\/10\/united-states-artificial-intelligence-ai-in-precision\/","title":{"rendered":"United States Artificial Intelligence (AI) In Precision"},"content":{"rendered":"

United States Artificial Intelligence (AI) In Precision<\/a><\/p>\n

https:\/\/www.openpr.com\/news\/4418807\/united-states-artificial-intelligence-ai-in-precision<\/a><\/p>\n

Publish Date: 2026-03-10 06:40:00<\/a><\/p>\n

Source Domain: www.openpr.com<\/a><\/p>\n

Artificial Intelligence (AI) In Precision Livestock Farming Market<\/p>\n

Market Size and Growth<\/p>\n

The agriculture industry is rapidly embracing digital solutions to improve efficiency, productivity, and animal welfare. Artificial Intelligence (AI) in precision livestock farming is becoming an essential tool for modern farms, enabling real-time monitoring of animals, optimized feeding strategies, and streamlined farm management. According to DataM Intelligence, Global Artificial Intelligence (AI) in precision livestock farming market reached US$ 2.23 billion in 2024 and is expected to reach US$ 19.87 billion by 2032, growing with a CAGR of 15.39% during the forecast period 2025-2032. <\/p>\n

Get a Free Sample PDF Of This Report (Get Higher Priority for Corporate Email ID):- https:\/\/www.datamintelligence.com\/download-sample\/artificial-intelligence-in-precision-livestock-farming-market?sb<\/span><\/p>\n

Key Development:<\/p>\n

United States: Recent Industry Developments<\/p>\n

\u2705 In March 2026, Zoetis announced the expansion of its AI-powered livestock health monitoring platform that uses predictive analytics and sensor data to detect early disease patterns in cattle. The system supports farmers with real-time insights into animal health and productivity. It improves herd management efficiency and reduces livestock mortality risks.<\/p>\n

\u2705 In February 2026, Cargill invested in advanced AI-driven livestock analytics platforms designed to optimize feed efficiency and animal performance in large-scale farms. The initiative integrates machine learning models with farm management systems to analyze nutrition and growth patterns. It strengthens data-driven decision-making in modern livestock operations.<\/p>\n

\u2705 In January 2026, Merck Animal Health launched an upgraded AI-enabled livestock monitoring solution combining smart ear tags, behavioral analytics, and cloud-based farm management tools. The system helps farmers detect illness, fertility cycles, and stress in animals earlier. It supports…<\/p>\n

Source<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

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