Improving the Performance of Vegetable Leaf Wetness Duration Models in Greenhouses Using Decision Tree Learning

Leaf wetness duration (LWD) is a key driving variable for peat and disease control in greenhouse management, and depends upon irrigation, rainfall, and dewfall. However, LWD measurement is often replaced by its estimation from other meteorological variables, with associated uncertainty due to the mo...

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Bibliografiska uppgifter
Huvudupphovsmän: Wang, Hui, Sánchez Molina, Jorge Antonio, Li, Ming, Rodríguez Díaz, Francisco
Materialtyp: info:eu-repo/semantics/article
Språk:English
Publicerad: MDPI 2020
Ämnen:
Länkar:http://hdl.handle.net/10835/7543