Unlock the Power of AI in Cow Monitoring
Training AI for Precise Calving Detection
The development of this AI system presented significant challenges. In the initial stages, the accuracy of detecting calving behaviors was low, leading to many false notifications. However, through the collection of vast amounts of data and repeated AI learning, along with the creation of appropriate alarm logic, performance has improved significantly. The latest demonstrations show a remarkable 95% detection accuracy for characteristic calving behavior. Training began in fall 2021, and the company continues to enhance the system by increasing the number of analyzed behavioral patterns. This not only reduces the physical burden on farmers but also secures human resources on farms.In the future, Nikon aims to expand this system to monitor not only cows but also other livestock. By leveraging AI and image analysis technology, the company hopes to contribute to reducing the workload of livestock farmers and improving overall farm management.
For example, in Japan, where 100-cow operations are common, the system is being fine-tuned to meet the specific needs of local farms. With the ability to increase the number of cameras and develop new recognition systems, Nikon is paving the way for more efficient and accurate livestock monitoring.
Near-Instant Recommendations through AI
In the agriculture industry, computer programs are increasingly analyzing large amounts of data to make more informed management decisions. Livestock wearables have been used for decades to collect data and monitor herd productivity and health. AI takes this a step further by collecting and analyzing data in real time, providing near-instant recommendations.Dairy is at the forefront of using wearable collars and tags. Instead of relying on manual heat detection, AI can track a cow's activity and identify signs of heat. This not only saves time but also improves the efficiency of barn management.
Paul Koffman, executive director of livestock technology solutions for Merck Animal Health, emphasizes that technology is not replacing labor but enhancing it. By using AI to identify specific cows, farmers can perform tasks more effectively and efficiently.
Leveraging Multiple Sources with AI
AI's power lies in its ability to combine information from multiple sources. Nedap believes in partnerships and integrations across technology suppliers to create greater value for farmers. By fine-tuning available sensors and tapping into other industries' technologies, AI software can provide a broader set of inputs for stronger algorithms.Tara Baker, North American marketing manager for Nedap, explains that this allows for a more comprehensive look at farm operations and provides more accurate outputs. However, AI is only as strong as its development, and it requires continuous learning and improvement.
Merck's Paul Koffman also sees AI as part of the company's overall animal health approach. By monitoring animals and identifying potential issues early, farmers can take appropriate actions to improve animal health and productivity.
Power Beyond Production with AI
Data management and AI can generate alternative income streams and provide information that end users require. Producers are using data to create sustainability scores that are in demand by processors and food sector players.Dairy, in particular, has a story to tell about its stewardship practices. By leveraging AI-powered technology, farmers can track and optimize these practices, providing added value to the supply chain. This not only benefits the environment but also enhances the reputation of dairy products.
Tara Baker notes that while 10 or 15 years ago, tracking these practices was difficult, now more processors are demanding this information. AI-powered tech is helping farmers meet these requirements and create new value streams.