Food and Agriculture Business Models - Pathway

The Business of AgriTech (DN103)

Agribusiness as a sector has got a lot of challenges right from production to consumption. The challenges are related to profitability, growing food demand, food wastage, food quality, consumer preferences, sustainability and so on. In this course we'll look at Agtech, also known as Agritech or AgriFood tech, but always reffering to the use of new technology in the sector with the aim of improving yield, efficiency, and profitability.

By the end, you will understand the potential of technology to turn these challenges into opportunities in Agribusiness. There are a lot of buzzwords in the Agtech space like Big Data, Internet of Things, Precision Agriculture and Remote sensing. While we are not going to explore each technology in-depth, we'll try to find their relevance by asking important questions as below.

--->What is the need for a particular technology in Agriculture?
--->Does every technology have relevance in the Agri sector?
--->Challenges for adopting a particular technology?
--->Importance of a Business Model to overcome adoption challenges?

The evolution of technology has changed the way we make decisions. Recent Agtech companies are trying to make this decision-making better by deploying technologies.

Can every technology bring disruptive opportunities for businesses in the value chain, maybe not. It definitely has to align with the core problem they are solving. In other words, technology must be aligned with the current problems in the Agri sector to bring competitive advantage.

At the end of this course and assessment, you would be able to answer/discuss the below questions with a lot more clarity and confidence.

--->What is Big Data?
--->What is the role of Big Data in the agriculture decision-making process?
--->What is the vision of Digital Agriculture?
--->How is Big Data and Digital agriculture related?
--->What can be the key driver for the adoption of technology in agriculture?
--->What is IoT?
--->What is remote sensing?
--->What is the value proposition of precision agriculture?
--->What is the use case of digital technology in production management?
--->What is the use case of digital technology in livestock management?
--->What is the use case of digital technology in storage management?
--->What is the use case of digital technology to improve the farmers' access to inputs and buyers?
--->What is needed for the tech talent to get aligned with agriculture?
--->Does adopting new technologies bring a competitive advantage for businesses?

The completion of learning and assessment can take anywhere between 3-5 hours of time investment.

We welcome you to join an exciting learning journey with this course.

  • Welcome sample
  • Learning Outcomes sample
  • Lessons
  • The Context for Digital Agriculture
  • Evolution of Decision Making
  • Big Data vs Digital Agriculture
  • The Value Proposition of Technology
  • Big Data and Digital Agriculture
  • Why does Data Matter in Agriculture?
  • Variety of Data
  • Digital Agriculture Vision
  • Precision Agriculture
  • Internet of Things (IoT)
  • Remote Sensing
  • Precision Ag and Farmer's Data Only
  • Remote Sensing and IoT
  • Precision Agriculture and Farmer's Data
  • Big Data and Precision Ag
  • Remote Sensing
  • Internet of Things (IoT)
  • IoT and Farmer's Data Only and Remote Sensing
  • IoT and Big Data
  • Coordination
  • Value Proposition of Precision Agriculture
  • Aligning Tech Talent to Agriculture
  • Dynamics of Digital Agriculture - Discussion
  • Starting Point for Technology Providers
  • Review Your Learning
  • Assessment
  • Certificate Test
Completion rules
  • All units must be completed