Spatio-Temporal Prediction of the Epidemic Spread of Dangerous Pathogens Using Machine Learning Methods

Spatio-Temporal Prediction of the Epidemic Spread of Dangerous Pathogens Using Machine Learning Methods

Real-time identification of the occurrence of dangerous pathogens is of crucial importance for the rapid execution of countermeasures. For this purpose, spatial and temporal predictions of the spread of such pathogens are indispensable. The R package papros developed by the authors offers an environ...

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Bibliographic Details
Main Authors: Wolfgang B. Hamer, Tim Birr, Joseph-Alexander Verreet, Rainer Duttmann, Holger Klink
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:ISPRS International Journal of Geo-Information
Subjects:
machine learning
random forest
infestation forecast
powdery mildew
Online Access:https://www.mdpi.com/2220-9964/9/1/44

Internet

https://www.mdpi.com/2220-9964/9/1/44

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