Success Story: AI/ML Computer Vision for the Next Generation Poultry Farms

Summary

The ff4 Euro HPC project showcases the integration of AI, machine learning, and high-performance computing in diverse sectors, including poultry farming. In collaboration with Montenegro's national competence center, a Serbian-Irish SME developed a smart agriculture solution using computer vision and IoT to monitor chicken behavior and farm parameters. This innovation in precision agriculture enhances productivity, reduces labor costs, and improves animal welfare and food quality, aligning with Europe's Farm to Fork strategy and the Green Deal.

Takeaways

• 🚀 **ff4 Euro HPC Success**: The project showcases the business advantages of using high-performance computing (HPC), AI, and machine learning for various industries.
• 🌐 **Diverse Applications**: HPC technologies are applied across sectors like manufacturing, healthcare, energy, e-commerce, transportation, engineering, and aeronautics.
• 📈 **Inspiring HPC Uptake**: Each experiment's success story aims to motivate the adoption of HPC in related industrial communities.
• 🐔 **AI in Agriculture**: The case study focuses on AI and machine learning for next-generation poultry farms, developed with the collaboration of a national competence center.
• 📍 **Location**: The solution was developed by a small and medium-sized enterprise (SME), DoNow Net, located in Novi Sad, Serbia, and Dublin, Ireland.
• 🌱 **Smart Agriculture**: DoNow Net uses state-of-the-art technologies to create smart solutions for sustainable business development in farming and other areas.
• 🔍 **Monitoring Parameters**: The solution monitors environmental and operational parameters crucial for chicken farming, like air temperature, humidity, CO2, ammonia levels, and feed consumption.
• 🤖 **Machine Learning Models**: Machine learning algorithms are used to create models that can predict the appearance of diseases in chickens.
• 💻 **HPC for Model Training**: High-performance computing is utilized to train and calibrate deep learning models efficiently.
• 📡 **Edge ML IoT System**: A new precision agriculture sensor combining cameras, edge computing, and an IoT platform is designed and validated.
• 📊 **Performance Metrics**: The solution can reduce manual labor costs by 30% and chicken mortality rates by about 10%, improving productivity and animal well-being.
• 🌍 **European Strategy Alignment**: The solution supports the European Farm to Fork strategy and the Green Deal by promoting transparent production.
• 🔝 **Speed of Development**: High-performance computing enabled a tenfold increase in the speed of predictive model generation, benefiting the poultry industry.

Q & A

What is ff4 Euro HPC?

ff4 Euro HPC is the successor to the prior fortissimo projects, demonstrating the business benefits of using high-performance computing, artificial intelligence, machine learning, and high-performance data analytics technologies across various industrial sectors.

What sectors does ff4 Euro HPC aim to impact?

ff4 Euro HPC aims to impact diverse industrial sectors such as manufacturing, healthcare, energy, e-commerce environments, transportation, engineering, and aeronautics.

What is the goal of each experiment conducted under ff4 Euro HPC?

Each experiment conducted under ff4 Euro HPC aims to generate a success story that inspires the uptake of high-performance computing in related industrial communities.

What is the specific success story mentioned in the transcript?

The specific success story mentioned is about the use of artificial intelligence, machine learning, and computer vision for the next generation of poultry farms.

Who collaborated to produce the success story about poultry farms?

The success story was produced in collaboration with the national competence center Montenegro and a small and medium-sized enterprise (SME).

What is the name of the SME that developed the smart agriculture solution?

The SME that developed the smart agriculture solution is called DoNowNet.

What are the locations of DoNowNet?

DoNowNet is located in Novi Sad, Serbia, and Dublin, Ireland.

How does DoNowNet use technology to support sustainable business development?

DoNowNet uses state-of-the-art technologies to create smart solutions that support sustainable business development in areas such as farming, manufacturing, and environmental monitoring.

What are the challenges faced in raising chickens while ensuring animal well-being and food production standards?

The challenges include closely monitoring environmental parameters like air temperature, humidity, CO2, and ammonia levels, as well as operational parameters like water and feed consumption, feed level in silos, and the functioning of air control systems, feeders, and drinkers.

How does machine learning combined with IoT help in monitoring chicken farms?

Machine learning combined with the Internet of Things can be used to develop computer vision sensors that monitor both chicken behavior and farm operational parameters.

What was the role of high-performance computing in the development of the poultry farm solution?

High-performance computing was used to efficiently apply deep learning to train and calibrate prediction models, leading to the creation of a new type of precision agriculture sensor.

What benefits did the implementation of high-performance computing bring to poultry farms?

The implementation of high-performance computing allowed for the quick and efficient development of smart agriculture solutions, boosting poultry farm productivity by reducing manual labor costs by 30% and chicken mortality rates by about 10%.

How does the solution contribute to the European Farm to Fork strategy and the Green Deal?

The solution contributes by creating transparent production, which in turn supports the European Farm to Fork strategy and the Green Deal, through quicker detection of diseases or abnormalities, improvements in disease prevention, early detection, and better agri-food product quality.

What is the impact of high-performance computing on predictive model generation in this context?

High-performance computing enabled more than a tenfold speed up of predictive model generation, allowing for the quick and efficient development of smart agriculture solutions using machine learning and computer vision for the poultry industry.

How does DoNowNet plan to monetize the developed technology?

DoNowNet plans to monetize the developed technology by selling components of the computer kit to third-party vendors active in the market of smart agriculture solutions.