Beef Cattle Short Course Explores Use of AI in Ranching

Beef Cattle Short Course Explores Use of AI in Ranching

Beef Cattle Short Course Explores Use of AI in Ranching

In a cutting-edge move towards advanced cattle ranching, the Beef Cattle Short Course at Texas A&M University recently explored the uses of artificial intelligence (AI) in the industry.

Leveraging Technology for Enhanced Ranch Profitability

Following last year’s financial constraints due to drought and excessive heat, the course presented several sessions focusing on how AI could maximize efficiency within ranching operations. Particular emphasis was given to the use of digital technology and sustainable practices, which highlighted technology’s role in transforming traditional ranching methods.

Introducing ‘Lore’

Ranchers from across the state of Texas partook in sessions about Lore, an application developed by the Dutch company DSM-Firmenich. Lore aims to provide detailed insights into data collected on ranches to optimize livestock and resource usage. With precision farming at its core, Lore uses AI to consider various factors like an animal’s characteristics, routine indicators, consumption and time of year while delivering daily predictions on livestock’s nutrition and environmental impact. These metrics are then compared to historical data, thereby helping ranchers focus on areas with the most potential for improving productivity.

AI in Ranching: Precision Livestock Technologies

Another significant breakthrough discussed during the course was the AI-powered Precision Livestock Technologies (PLT), a Dallas-based company. Utilizing a solar-powered camera system that collects animal data around the clock, PLT analyses various metrics, including weight and behavior patterns, to provide actionable recommendations to ranchers.

The data gathered can be analyzed to identify barriers to optimization and trends that limit livestock output. For instance, the PLT’s machine-vision system can monitor livestock’s body posture, time spent eating, drinking, and sitting, and other important bodily features. This data is processed by AI algorithms to gauge the animal’s health and well-being, classifying them as “Is Doin’ Right” (IDR) or “Ain’t Doin’ Right” (ADR).

Conclusion

The integration of technology into farming practices provides exciting possibilities for the future of the agriculture industry, specifically in cattle ranching. By synergizing tech and agriculture, stakeholders can optimize their operations, contribute more effectively to the global food supply, and move towards a sustainable farming future.


HERE College Station

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