New Zealand veterinary journal
Machine learning for predicting climate change impacts on Pseudopithomyces chartarum spore counts: a risk indicator of facial eczema.
M Wada, O Sagarasaeranee, N Cogger, J Marshall, E Cuttance, G Macara, A Sood, E Vallee
Published: 202510.1080/00480169.2025.2579134
Abstract
AIMS: To determine the importance of 11 climate variables on pasture spore count of Pseudopithomyces chartarum, a risk indicator of facial eczema (FE), and to forecast spore counts in New Zealand until 2100, using longitudinal P. chartarum pasture sp…
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