Accelerating crop farmers' adaptation to climate change
A case study briefly describing an AI project where scientists have used image-analysis technology is in the agricultural sector.
Additional details
| Year band(s) | 5-6, 7-8, 9-10 |
|---|---|
| Content type | Article or research |
| Format | Web page |
| Core and overarching concepts | Digital systems, Impact and interactions, Enterprise skills and innovation |
| Australian Curriculum Digital Technologies code(s) |
AC9TDI6P02
Design algorithms involving multiple alternatives (branching) and iteration
AC9TDI8P04
Define and decompose real-world problems with design criteria and by creating user stories
AC9TDI10P10
Evaluate existing and student solutions against the design criteria, user stories, possible future impact and opportunities for enterprise |
| Technologies & Programming Languages | Artificial Intelligence |
| Keywords | Artificial, Intelligence, Artificial Intelligence, AI, Experiments, Machine learning, Data scientists, AI examples, Pattern recognition, Images, Animal populations, Planet health, Image-analysis technology, High resolution imagery, Land cover mapping, Endangered species, Animal monitoring, Data-driven agriculture, Sustainable solutions, Preferred futures, Climate change |
| Organisation | University of Adelaide |
| Copyright | ©University of Adelaide. May be subject to statutory licence fee. |
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