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

FFplus Project

28 Feb 202304:30

Summary

TLDRThe 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.

Outlines

00:00

🐓 AI and Machine Learning in Poultry Farming

The ff4 Euro HPC project showcases the use of high-performance computing (HPC), AI, and machine learning in diverse sectors including manufacturing, healthcare, and agriculture. A specific success story involves the collaboration with Montenegro's national competence center and a small to medium-sized enterprise (SME), Dunonet, to develop a smart agriculture solution. This solution uses computer vision sensors powered by machine learning and IoT to monitor chicken behavior and farm operational parameters. The project aimed to improve animal welfare and food production standards by closely monitoring environmental and operational factors on poultry farms. HPC resources were crucial for training and calibrating deep learning models that could detect diseases and monitor chicken growth. The result was a precision agriculture sensor combining cameras, edge computing, and IoT, which significantly reduced manual labor costs and chicken mortality rates, while improving disease prevention and food quality.

Mindmap

Keywords

💡ff4 Euro HPC

ff4 Euro HPC refers to the fourth phase of the Euro HPC project, which is a successor to the prior Fortissimo projects. It showcases the business advantages of utilizing high-performance computing, AI, machine learning, and high-performance data analytics across various sectors. The project aims to inspire the adoption of HPC in industrial communities by demonstrating success stories, such as the one about poultry farms.

💡High Performance Computing (HPC)

High Performance Computing (HPC) is a form of computing that uses many processors to handle advanced computation and data processing tasks. In the context of the video, HPC is used to train and calibrate machine learning models for smart agriculture solutions, which helps in monitoring and improving poultry farm operations.

💡Artificial Intelligence (AI)

Artificial Intelligence (AI) is the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. The video discusses how AI is combined with machine learning and computer vision to create sensors that monitor chicken behavior and farm parameters, contributing to the next generation of poultry farms.

💡Machine Learning

Machine Learning is a subset of AI that provides systems the ability to learn and improve from experience without being explicitly programmed. In the script, machine learning algorithms are used to create models that can predict the appearance of certain diseases in chickens, enhancing the monitoring capabilities of the poultry farms.

💡Computer Vision

Computer Vision involves training computers to interpret and understand the visual world. The video describes how computer vision is used in conjunction with machine learning to develop sensors that monitor both chicken behavior and farm operational parameters, which is crucial for the next generation of poultry farms.

💡Precision Agriculture

Precision Agriculture is an agricultural management strategy that uses technology to collect data from the field and make informed decisions. The video mentions the creation of a new type of precision agriculture sensor that combines cameras, edge computing, and an IoT platform to monitor the growth process and uniformity of chickens.

💡Edge Computing

Edge Computing refers to the practice of processing data near the edge of the network, where it is generated, rather than in a centralized data-processing warehouse. In the context of the video, edge computing is used in conjunction with IoT to process data from sensors on the poultry farm in real-time, enabling quick responses to changes in farm conditions.

💡IoT (Internet of Things)

IoT is a system of interrelated computing devices, mechanical and digital machines, objects, animals, or people that are provided with unique identifiers and the ability to transfer data over a network. The video discusses how IoT platforms are used to connect sensors on the poultry farm, allowing for real-time monitoring and control of various parameters.

💡Sustainable Business Development

Sustainable Business Development involves meeting the needs of the present without compromising the ability of future generations to meet their own needs. The video highlights how the use of state-of-the-art technologies, such as AI and HPC, supports sustainable business practices in poultry farming by reducing manual labor costs and chicken mortality rates.

💡European Farm to Fork Strategy

The European Farm to Fork Strategy is a policy framework aimed at making food systems in Europe more sustainable and circular. The video mentions that the smart agriculture solutions developed with HPC contribute to this strategy by establishing transparent production processes and improving agri-food product quality.

💡Dunoonet

Dunoonet is a small and medium-sized enterprise (SME) mentioned in the video that is located in Novi Sad, Serbia, and Dublin, Ireland. The company uses state-of-the-art technologies to create smart solutions that support sustainable business development. It is involved in the development of the smart agriculture solution for poultry farms, which is a key focus of the video.

Highlights

ff4 Euro HPC is the successor to the prior fortissimo projects.

It demonstrates business benefits of using high performance computing, AI, and machine learning.

The technologies are applied across diverse sectors like manufacturing, healthcare, and energy.

Each experiment generates a success story to inspire HPC uptake.

The success story is a collaboration with the national competence center Montenegro.

Dunoonet, an SME, developed a smart agriculture solution.

The solution supports sustainable business development in farming and manufacturing.

It monitors environmental and operational parameters for poultry farms.

Machine learning and IoT are used to develop computer vision sensors.

High performance computing is used to train and calibrate prediction models.

A new precision agriculture sensor combines cameras, edge computing, and IoT.

The system can detect chickens and monitor their growth process.

High performance computing allowed for the quick development of smart agriculture solutions.

The solution can reduce manual labor costs by 30% and chicken mortality rates by 10%.

Quicker detection of disease improves disease prevention and animal well-being.

The solution contributes to the European Farm to Fork strategy and the green deal.

Predictive model generation is more than ten times faster with high performance computing.

The computer kit has become part of the poultrynet platform offering.

Dunoonet has opportunities to sell components to third-party vendors.

The project inspires SME innovation through high performance computing.