Innovating for Agribusiness - EY and Microsoft
Summary
TLDRThe video script discusses the urgent need for a digital transformation in agriculture to meet the global food demand by 2050. With Microsoft and EY, data is harnessed to predict crop yields, identify diseases, and streamline operations. Technologies like edge computing, AI, mixed reality, and robotics are integrated to optimize production and resource use, ensuring a sustainable food supply for 9 billion people.
Takeaways
- 🌱 Traditional agriculture has been using data, but modern challenges demand more complex data handling and insights.
- 📈 The global population is expected to reach 9 billion by 2050, necessitating a 70% increase in food production with limited resources.
- 🌐 Microsoft and EY are partnering to drive digital transformation in agriculture through cloud connectivity and data-driven innovation.
- 🔮 Predictive analysis and data capture from fields can help farmers make informed decisions about crop selection and management.
- 🌳 Early detection of crop diseases and pests is possible with advanced data analytics, improving response times and reducing losses.
- 🤝 Seamless connectivity with vendors is facilitated, streamlining the agricultural supply chain and enhancing operational efficiency.
- 💻 Edge computing is introduced to reduce the cost of field oversight and quicken the reaction to threats to crops.
- 🤖 Artificial intelligence is utilized to identify inefficiencies and provide insights that can boost agricultural production.
- 👓 Mixed reality technology can enable remote experts to assist on-farm, providing agronomists with comprehensive farm views.
- 🤖 Robotics are being integrated to expand the possibilities of crop production in terms of methods and locations.
- 🌐 Microsoft and EY possess the experience, trust, and scale to foster innovation across the global food value chain.
Q & A
What is the projected global population by 2050 and the anticipated increase in food production needed?
-By 2050, the global population is projected to reach 9 billion people, and it is expected that we will need to produce 70% more food.
How does the agricultural industry plan to meet the food production challenge with limited resources?
-The agricultural industry must evolve by harnessing data in new ways, using less land, and fewer scarce resources to meet the challenge of feeding the growing population.
What role does digital transformation play in modern agriculture according to the script?
-Digital transformation in agriculture plays a crucial role by connecting data to the cloud, driving innovation, and adding value to the industry.
What are some of the technologies mentioned in the script that can help farmers gain insights and improve crop production?
-The script mentions edge computing, artificial intelligence, mixed reality, and robotics as technologies that can help farmers gain insights, improve crop production, and manage resources more efficiently.
How does predictive analysis with data help farmers?
-Predictive analysis allows farmers to have an unprecedented view of their crops, enabling them to predict the best crops to grow and respond faster to crop threats.
What is edge computing and how does it benefit field oversight in agriculture?
-Edge computing is a distributed computing paradigm that processes data closer to the source of data generation. In agriculture, it lowers the cost of field oversight and accelerates the response to crop threats.
How can artificial intelligence expose inefficiencies and enhance production in agriculture?
-Artificial intelligence can analyze large data sets to expose inefficiencies and provide actionable insights, which can lead to enhanced production and more sustainable farming practices.
What is the significance of mixed reality in the context of agriculture as described in the script?
-Mixed reality can make remote experts accessible, allowing agronomists to have a complete view of a farm and receive expert guidance without physically being present.
How does robotics add a new dimension to crop production as mentioned in the script?
-Robotics can automate various farming tasks, reduce human labor, and enable the cultivation of crops in challenging environments, thus adding a new dimension to how and where crops can be produced.
What is the role of Microsoft and EY in enabling innovation in the global food value chain?
-Microsoft and EY are empowering digital transformation in agriculture by providing the experience, trust, and scale needed to enable innovation throughout the global food value chain.
Why is data control important for farmers in the context of data-driven agriculture?
-Data control is important because it ensures that farmers have autonomy over their data, which is crucial for making informed decisions and maintaining privacy and security in their operations.
Outlines
🌾 The Growing Need for Smarter Agriculture
The global population is expected to reach 9 billion by 2050, and this growth will require producing 70% more food using fewer resources. Traditional agriculture methods, though data-driven, need to evolve to meet this challenge. The agricultural industry must adopt new data strategies to generate better insights and improve efficiency in food production.
📊 Empowering Agriculture with Data and Technology
Microsoft and EY are leading the digital transformation of agriculture by connecting data to the cloud. This shift drives innovation and helps farmers manage their crops more effectively. By using data, farmers can make better decisions on what crops to grow, recognize diseases or pests faster, and connect with vendors seamlessly, all while maintaining control of their own data.
🤖 Leveraging Advanced Technology for Better Farming
With predictive analytics and field data, farmers gain unprecedented visibility into their crops. Edge computing reduces the cost of overseeing fields and helps respond faster to threats. Artificial intelligence identifies inefficiencies and uncovers new insights to boost production, while mixed reality and robotics add new dimensions to farming, allowing for remote expertise and innovation in crop production.
🌍 Transforming Agriculture Through Partnership
Microsoft and EY are combining their experience, trust, and global scale to foster innovation throughout the entire agricultural value chain. Together, they aim to help meet the challenge of feeding the world's growing population by enabling data-driven agriculture on a large scale, powered by Azure cloud technology. This partnership seeks to make farming more efficient and sustainable by using data to drive progress.
Mindmap
Keywords
💡Data
💡Digital Transformation
💡Predictive Analysis
💡Edge Computing
💡Artificial Intelligence (AI)
💡Mixed Reality
💡Robotics
💡Global Food Value Chain
💡Sustainable Agriculture
💡Agriculture on Azure
💡Data-Driven Agriculture
Highlights
Traditional agriculture has been using data, but modern challenges require more complex data handling.
Data must be harnessed in new ways to provide better insights for the next generation.
By 2050, the global population is expected to reach 9 billion, necessitating a 70% increase in food production.
Agricultural production must evolve to meet the challenge of feeding a growing population with limited resources.
Microsoft and EY are collaborating to empower digital transformation in agriculture.
Data is connected to the cloud to drive innovation and value in the agricultural industry.
Predictive analysis allows farmers to have an unprecedented view of their crops.
Edge computing will lower the cost of field oversight and accelerate responses to crop threats.
Artificial intelligence can expose inefficiencies and unlock new insights to enhance production.
Mixed reality can make a remote mechanic an expert and give agronomists a complete view of a farm.
Robotics will add a new dimension to crop production methods and locations.
Microsoft and EY have the experience, trust, and scale to enable innovation throughout the global food value chain.
Data-driven agriculture is key to rising to the challenge of feeding the world.
Agriculture on Azure leverages data to improve the world's food production and distribution.
Harnessing data in agriculture leads to a more efficient and effective global food system.
Transcripts
traditional agriculture has always used
data but today's data challenges are
increasingly more complex data must be
harnessed in new ways and provide better
insights over the next generation our
global population will continue to grow
by 2050 there will be 9 billion people
on the earth and it's expected we will
need to produce 70% more food and using
less land and fewer scarce resources to
meet this challenge the agricultural
industry must evolve Microsoft and ey
are empowering a digital transformation
in agriculture by connecting data to the
cloud driving innovation and value what
if you could predict the best crops to
grow using the power of data recognize
crop disease or pests faster connect
with vendors seamlessly doing all this
knowing you control your own data with
data captured from each field and
connected to predictive analysis farmers
have an unprecedented view of their
crops edge computing will lower the cost
of field oversight and accelerate the
response to crop threats artificial
intelligence will expose inefficiencies
and unlock new insights to enhance
production mixed reality will make a
remote mechanic an expert and give
agronomists the complete view of a farm
robotics will add a new dimension to how
and where crops can be produced
Microsoft and ey had the experience
trust and scale to enable innovation
throughout the global food value chain
working together we can rise to the
challenge of feeding the world this is
data driven agriculture this is
agriculture on Azure because when the
world of farming harvests data the world
works better
[Music]
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