From machine learning to citizen science: methods for estimating pest disease prevalence

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Detalles Bibliográficos
Publicado en:	EFSA Journal vol. 22, no. 10 (Oct 1, 2025)
Autor Principal:	Moustakas, Aristides
Publicado:	John Wiley & Sons, Inc.
Materias:	Statistics Digital mapping Invasive species Surveillance Guidelines Assessments Applications programs Experimental design Disease Introduced species Medical imaging Remote sensing Capture-recapture studies Machine learning Computer applications Sampling Statistical methods Disease detection Land cover Smart sensors Learning algorithms Food security Literature reviews Climatic data Pests Unmanned aerial vehicles Environmental impact Design of experiments Surveys Drone aircraft Software Estimation Polls & surveys Environmental
Acceso en liña:	Citation/Abstract Full Text - PDF
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