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)

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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Read more about the article C·I·B represented at 11th Savanna Science Network Meeting
The C·I·B team at the 11th Savanna Science Network Meeting. From left to right: Nicola van Wilgen (SANPArks, C•I•B research associate), Llewellyn Foxcroft (SANParks), Caswell Munyai (UniVen), Jane Carruthers (UNISA), Andrew Davies (UP), Monica Leitner (UP).

C·I·B represented at 11th Savanna Science Network Meeting

The 11th Savanna Science Network Meeting was again held in Skukuza between 3 and 8 March 2013. Over the last decade, this has become one of the premier conservation and ecology conferences in South Africa, attracting many of the world’s most prominent savanna ecosystem scientists, and is supported by the Andrew W. Mellon Foundation.

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