Artificial Intelligence (AI) in livestock management has completely changed how farmers and the agricultural sector track and maximize resource use, animal welfare, and output. By means of real-time analysis, predictive modeling, and automated data collecting, AI-driven solutions are significantly improving livestock monitoring systems. The many AI technologies utilized in livestock management are examined in this chapter, including computer vision, machine learning, and IoT-enabled devices that monitor behavior, environmental factors, and vital signs. Artificial Intelligence (AI) enhances productivity and sustainability by facilitating early disease detection, efficient breeding, and precision feeding through the provision of actionable insights from data. The future potential of AI in revolutionizing the cattle business is also highlighted, along with ethical considerations and problems like data protection and the use of AI in rural areas.

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Livestock Management Monitoring with AI

  • Kanakaprabha,
  • K. Shanthi Latha

摘要

Artificial Intelligence (AI) in livestock management has completely changed how farmers and the agricultural sector track and maximize resource use, animal welfare, and output. By means of real-time analysis, predictive modeling, and automated data collecting, AI-driven solutions are significantly improving livestock monitoring systems. The many AI technologies utilized in livestock management are examined in this chapter, including computer vision, machine learning, and IoT-enabled devices that monitor behavior, environmental factors, and vital signs. Artificial Intelligence (AI) enhances productivity and sustainability by facilitating early disease detection, efficient breeding, and precision feeding through the provision of actionable insights from data. The future potential of AI in revolutionizing the cattle business is also highlighted, along with ethical considerations and problems like data protection and the use of AI in rural areas.