This video shows one of GAIA's machine learning models, a deep neural network, as it goes through its training process -  from start to finish
Over time GAIA learns to differentiate vineyards from other vegetation and materials.
The machine learning model does this by inspecting 9 different multispectral colour bands,
including both infrared, and colours visible to the human eye.
As you can see the magnitude of change decreases as training continues.
Once the machine learning model is fully trained, the regions turn green.
This represents the final result which can be used for a variety of agricultural purposes.
GAIA is being used to locate every vineyard in Australia,
accurately and automatically
