Innovating for Agribusiness - EY and Microsoft

EY Global

26 Apr 201802:05

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

00:00

🌾 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

Data refers to the information collected from various sources, which can be analyzed to reveal patterns and trends. In the context of the video, data plays a crucial role in modern agriculture by providing insights that help in decision-making. The script mentions that data must be harnessed in new ways to address the challenges of feeding a growing global population with limited resources.

💡Digital Transformation

Digital transformation involves the integration of digital technology into all areas of a business, fundamentally changing how it operates and delivers value to customers. In the video, Microsoft and EY are empowering digital transformation in agriculture by connecting data to the cloud, which drives innovation and adds value to the industry.

💡Predictive Analysis

Predictive analysis is a form of advanced analytics that uses various statistical techniques to predict future outcomes based on historical data. The script highlights how predictive analysis, when applied to data captured from fields, can help farmers predict the best crops to grow and respond more effectively to crop threats.

💡Edge Computing

Edge computing refers to the practice of processing data near the source of the data, rather than in a centralized data-processing warehouse. In the video, edge computing is mentioned as a way to lower the cost of field oversight and accelerate responses to crop threats by processing data quickly and efficiently at the edge of the network.

💡Artificial Intelligence (AI)

Artificial Intelligence is the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. The video suggests that AI can expose inefficiencies in agricultural processes and unlock new insights to enhance production, making it a key technology in the digital transformation of agriculture.

💡Mixed Reality

Mixed reality is a type of augmented reality that merges real-world and virtual-world elements to create new environments and visualizations where physical and digital objects coexist and interact in real time. The script implies that mixed reality can enable remote experts to assist on-site workers, providing a complete view of a farm and enhancing decision-making.

💡Robotics

Robotics involves the design, construction, operation, and use of robots, which can be employed to perform tasks. In the context of the video, robotics is presented as a technology that can add a new dimension to agriculture by automating tasks and potentially expanding where and how crops are produced.

💡Global Food Value Chain

The global food value chain refers to the series of processes and activities that are involved in bringing food from the farm to the consumer. The video emphasizes that Microsoft and EY have the experience and scale to enable innovation throughout the global food value chain, suggesting a comprehensive approach to improving agricultural practices.

💡Sustainable Agriculture

Sustainable agriculture is an approach to farming that aims to meet the food and livelihood needs of the present without compromising the ability of future generations to meet their own needs. The video's theme of increasing food production using fewer resources aligns with the concept of sustainable agriculture, highlighting the need for innovative solutions to feed the growing population.

💡Agriculture on Azure

Agriculture on Azure refers to the use of Microsoft's cloud computing platform, Azure, to support agricultural processes and data management. The video suggests that by leveraging Azure, the agricultural industry can benefit from data-driven insights and advanced technologies to improve efficiency and productivity.

💡Data-Driven Agriculture

Data-driven agriculture is an approach that relies on the collection and analysis of data to inform decision-making in farming. The video's title and content emphasize the importance of harnessing data to drive innovation and improve agricultural practices, positioning data as a key resource in the future of farming.

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.