Key Takeaways:
- Precision Livestock Technologies (PLT) has introduced an AI system to predict cattle feed intake and recommend feeding.
- The system uses data from PLT’s Bunk Management System and external sources to improve feeding strategies.
- Developed through machine learning, the system is based on over 150,000 pen days of data.
- The technology aims to assist in making more informed feeding decisions to increase profits and improve animal health.
- As more data is collected, the AI system must continually refine its feeding predictions.
Precision Livestock Technologies Launches AI System for Cattle Feeding
Introduction of AI in Livestock Feeding:
Precision Livestock Technologies (PLT), a provider of software and hardware solutions for livestock feeding and health, has recently announced the launch of a new system that integrates artificial intelligence (AI) to forecast cattle feed intake and generate feeding recommendations. This system represents a significant advancement in the use of technology within the livestock industry.
Data Utilization for Feeding Strategies:
The AI system by PLT operates by analyzing various data points from its Bunk Management System and external data sources. Factors such as feeding rates, feeding times, cattle behavior, ration type, and weather conditions are among the aspects considered. This approach enables the generation of daily quantitative feeding predictions, aiming to optimize feeding practices.
Balancing Automation and Expertise:
PLT’s system is designed to emulate the decision-making capabilities of an experienced cattle feeding professional, combining automated feeding decisions with a platform for staff to verify their approaches and avoid potential errors. This dual functionality emphasizes a customized approach to feeding, differing from generic strategies.
Company Perspectives:
Andrew McKenzie, CEO of PLT, has expressed that developing this AI capability was a high priority for the company. Early feedback from customers suggests that the system is providing valuable guidance. McKenzie also emphasized the potential of machine learning in this context, noting that the system is expected to improve as more data becomes available, potentially leading to greater benefits for PLT clients.
Future Developments and Demonstrations:
PLT will showcase its AI-powered feeding system at the National Cattleman’s Beef Association conference in Orlando, Florida, from January 31st to February 2nd. The company aims to demonstrate how the integration of machine vision and AI can influence the future of animal agriculture.
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