MtreeCen’s groundbreaking DeepEyes AI technology has garnered the esteemed Jang Young-sil Award, setting a new benchmark in the pig farming industry. On April 12th, the company announced the achievement of DeepEyes, a system designed to enhance the productivity and welfare of sows and piglets in pig production through 24/7 monitoring.
DeepEyes is a first-of-its-kind artificial intelligence platform that analyzes behavioral patterns of sows to predict and prevent stillbirths in piglets. By detecting real-time birthing events, the system safeguards the health of newborn piglets, encouraging the consumption of high-quality colostrum and bolstering immunity, which in turn reduces post-weaning mortality rates and significantly boosts farming efficiency.
The pioneering technology utilizes high-precision Vision AI and Edge AI for real-time data analysis, effectively addressing the labor-intensive breeding sector and the challenges of round-the-clock operations in pig farming. Within two years of its release, DeepEyes was installed in 100 pig farms in Korea, demonstrating both the viability and success of the system.
DeepEyes has trained its proprietary AI model with over 400TB of accumulated farm data, automating the detection of piglet births with a remarkable 93% accuracy. Also, it employs an algorithm capable of recognizing sow behavior patterns, indirectly detecting abnormalities in reproductive hormones, which is a first in the world in predicting piglet mortality conditions.
Having already won the top prize at the Smart Livestock AI Competition, DeepEyes by MtreeCen continues its relentless march, claiming the Jang Young-sil Award and causing a stir in the swine industry. Recognized as a leading solution in integrated ICT for livestock farming, it is contributing to cost reduction and optimal livestock management.
With a firm foundation of recognized excellence in AI, MtreeCen is at the forefront of innovation, collaborating with the National Institute of Animal Science on research for enhancing swine productivity, aiming at a domestic and international expansion, while eyeing a revenue goal that could double by 2025.
Current Market Trends:
The use of artificial intelligence (AI) and machine learning in the livestock farming industry, particularly in swine farms, is growing rapidly. The technology aims to increase efficiency, enhance animal welfare, and address labor shortages. The market trend shows increasing investment in precision livestock farming technologies that enable real-time monitoring and decision-making, contributing to sustainability and productivity.
Forecasts:
The global market for smart livestock farming is expected to grow significantly in the coming years, potentially reaching billions of dollars. The rising demand for protein, advancements in IoT and AI, and the need for sustainable practices are driving growth. As AI technology continues to develop, it is expected to become more integrated into swine farm management systems, with an emphasis on predictive analytics and autonomous operations.
Key Challenges or Controversies:
Challenges include the high cost and complexity of implementing AI systems, particularly for small and mid-sized farms. Data privacy and security is another concern, as farm data is sensitive. There’s also the need for farmers to become technologically savvy, or for the systems to become more user-friendly. Controversies might include fears of job displacement due to automation and ethical concerns regarding the control and use of data collected from the animals.
Advantages:
The advantages of an AI system like DeepEyes include increased productivity and efficiency, improved animal welfare, and enhanced decision-making capabilities. Predicting and preventing stillbirths is an example of how AI can significantly impact reducing livestock mortality rates. Real-time monitoring can also help in quick intervention, saving at-risk piglets and potentially reducing the need for antibiotics through better health management.
Disadvantages:
Despite the potential benefits, AI systems can be costly to implement and require technical expertise. There is also the potential for technology failure or inaccuracies in prediction that can lead to losses. Relying on technology for animal welfare decisions may also raise ethical questions and concerns about the de-skilling of farmers.
The Jang Young-sil Award, which serves to acknowledge revolutionary technologies in South Korea, named after the 15th-century Korean scientist Jang Young-sil, is evidence of the national importance placed on technological innovation in industry sectors, including agriculture.
For those interested in exploring more about advancements in AI and its impact on the livestock industry, a visit to professional organizations and research institute websites would be beneficial. As requested, here is a link to the main domain for the National Institute of Animal Science, with which MtreeCen collaborates: NIAS.
For MtreeCen, winning the Jang Young-sil Award further solidifies its reputation as a leader in AI for livestock farming and positions it well for domestic and international market expansion. However, ongoing research and adaptation will be crucial in maintaining their competitive edge in this rapidly evolving field.
The source of the article is from the blog elektrischnederland.nl