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Weather data sources influence predictive performance of disease forecasting models.

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Bibliographic Details
Title: Weather data sources influence predictive performance of disease forecasting models.
Authors: Mensah TA; Centre for Horticultural Science, Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Ecosciences Precinct, Brisbane, QLD, 4102, Australia. t.mensah@uq.net.au., White N; Centre for Horticultural Science, Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Ecosciences Precinct, Brisbane, QLD, 4102, Australia.; Queensland Department of Primary Industries, Toowoomba, QLD, 4350, Australia., Rincón-Flórez V; Centre for Horticultural Science, Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Ecosciences Precinct, Brisbane, QLD, 4102, Australia., Akinsanmi OA; Centre for Horticultural Science, Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Ecosciences Precinct, Brisbane, QLD, 4102, Australia. o.akinsanmi@uq.edu.au.
Source: International journal of biometeorology [Int J Biometeorol] 2026 Aug 18; Vol. 70 (9). Date of Electronic Publication: 2026 Aug 18.
Publication Type: Journal Article
Journal Info: Publisher: Springer Verlag Country of Publication: United States NLM ID: 0374716 Publication Model: Electronic Cited Medium: Internet ISSN: 1432-1254 (Electronic) Linking ISSN: 00207128 NLM ISO Abbreviation: Int J Biometeorol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1432-1254
DOI:10.1007/s00484-026-03285-3