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Read more about the article Generation of machine-learning training samples using traditional image classification algorithms
Madodomzi Mafanya capturing a Pompom weed GPS coordinate using a GNSS receiver at Rietvlei Nature Reserve. (Photo supplied by Madodomzi)
2022 / News

Generation of machine-learning training samples using traditional image classification algorithms

The study by PhD student, Madodomzi Mafanya, and C∙I∙B Core Team member, Tsungai Zengeya, demonstrated that it is possible to generate large numbers of accurate training samples from traditional image classification algorithms that can be used to map the distribution of alien plant species using machine-learning algorithms.

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6 May 2022