The goal of this course is to lift executives and policy makers into a position to understand how nations with fast growing population can benefit from the Industry 4.0 design concept to leverage agriculture, farming and wild-life to get a resilient, ecological and sustainable food production.
This course is for you if you want to understand
- How the concept of Industries 4.0 translates into Agriculture 4.0
- How Agriculture 4.0 can help small farmers
- How technology helps to defeat pests and natural disasters
- How technology helps to create a sustainable agriculture
- Technology used in breeding and cultivation and wild life protection
How technology helps farmers to sell agriculture better
For countries with fast growing population like in Africa or Asia it is an eminent need to make their agriculture efficient, self-sustaining and resilient against pests and climate changes. Industries 4.0 can help small farmers to build an efficient local agriculture in rural places to become independent from the hegemonic heritage.
Why to attend?
Agriculture is the chance of the century for all emerging countries with a fast-growing young population. Agriculture 4.0 adopts the design concept of Industries 4.0 to create smart platform economies for sharing resources in agriculture, farming, environment and wild life. Artificial Intelligence will improve planting and breeding and opens up new markets. It helps emerging countries to find recipes for sustainable local solution to feed and employ the growing population without forcing them to migrate to metropolitan areas.
Target Audience
Executives and policy makers who look for inspiration how technology can help them to cope with the challenges of agriculture, farming and fishing, environment and wild life in harmony with nature.
Prerequisites
Be a subject expert in agriculture, policy making or computer engineering.
Certification
Participants will receive the Blue Elefant Certificate of Excellence.
Course Content
Compact introduction to terminology, use cases and implementation for Agriculture 4.0 including farming, wild-life and environment.
- Connected Industries 4.0
- Use cases in agriculture
- Disruptive agriculture models
- Technology for Agriculture 4.0
- Machine learning: Analysing Data
- Cyber-system, drones and robots
- Security, Safety, and Blockchains
- How machines can talk to humans
- Artificial Intelligence
- Project Management for Industries 4.0
Course Layout
A short crash course meant to give an exhaustive understanding to executives, corporate decision makers and policy makers.
Concept of Industries 4.0 and Agriculture 4.0
Agree a common understanding and scope of Agriculture 4.0 and review the terminology to be used to avoid a Babylonian language muddle.
- Connecting Analog Machines to Digital Computers;
- Woven production; Autonomous vehicles; Sharing and Platform Economy
Use cases in agriculture
- Manufacturing 4.0, Agriculture 4.0, Health Care 4.0, Logistics 4.0, Education 4.0
- Benefits, Risks and Disruptive business models
Disruptive business models for Agriculture 4.0
- Manufacturing 4.0, Agriculture 4.0, Health Care 4.0, Logistics 4.0, Education 4.0
- Benefits, Risks and Disruptive business models
The technology required to implement Industries 4.0
Agriculture 4.0 depends on the availability of a stable ubiquitous internet and a range of devices and their clever software.
- Internet Infrastructure; Data Storage, Data Management, Enterprise Service Bus
- Practical approach to retrofit existing industries to Industries 4.0
Machine learning: From data to analytics
The Alpha and Omega of Industries 4.0 is the acquisition of data from all kind of sources, predominantly from physical devices like sensors.
- Data Acquisition, Data Aggregation and Pooling
- Data Analytics: Descriptive Analysis, Diagnostics, Prediction, Prescription
Security, Safety and Blockchains etc.
Securing the functioning of the technology and making transactions safe is a prime concern. What role plays blockchain here?
- Security, Safety, Privacy, Blockchains etc.
- Data privacy, digital Rights management, making money with data
Artificial Intelligence
Artificial Intelligence is technologies that compiles information and derived results to simulate possible scenarios and assist conclusions.
- How machines can easily interact with humans
- Machine Learning, Learning Machines, Machine games, Darwin Machines
Project Management for Agriculture 4.0
Introducing and orchestrating Agriculture 4.0 are complex projects that require adopted agile project management styles.
- Evolution by Design: Strategies to keep controlled in a shared economy
- Standard Operation Procedures to control human-machine cooperation