Digital Agriculture – Challenges and Risks

Associated Technologies Including Robotics

TristanPerez1

 

Tristan Perez, Queensland University of Technology

 

There is big hype at the moment about big data, big-data analytics, machine learning, artificial intelligence, and robotics. Some of these terms are starting to make it into agriculture, especially when we consider the potential impact of data flows from an integrated value chain.

There is little doubt that the judicious application of some of these concepts and associated technologies will be transformational to the agricultural industry. However, there are also some risks.

In this talk, I  attempted to define some of the terms above using simple examples within the agricultural context and discuss how the associated technologies including robotics could be applied.

I  also highlighted the challenges and risks associated with generating and using data without appropriate regard for the underlying management problems we seek to address.

Leave a Reply