Applications of AI in Agritech

Background

New advances in machine learning and artificial intelligence can help us to learn from huge datasets and develop predictive models. Integrating sensors with Internet of Things (ioT) technology and big data can transform agriculture landscape and crop management. Traditional practices are becoming outdated, with in-depth analysis of advanced technological tools, farmers are adopting precision agriculture practices for better yield.

Learning Outcome (LO)

  • LO #1: Evaluate climate change effects in agriculture, including pathogen emergence, pest management, crop and harvest management. 
  • LO #2: Elaborate with an example of AI application in real-world agriculture settings. 

What is on offer?

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