Water table depth forecasting in cranberry fields using two decision-tree-modeling approaches

Author:

Brédy Jhemson,Gallichand Jacques,Celicourt Paul,Gumiere Silvio José

Funder

Gestion intégrée des ressources en eau dans la production de canneberges

Natural Sciences and Engineering Research Council

Publisher

Elsevier BV

Subject

Earth-Surface Processes,Soil Science,Water Science and Technology,Agronomy and Crop Science

Reference71 articles.

1. Crop Evapotranspiration - Guidelines for Computing Crop Water Requirements - FAO Irrigation and Drainage Paper 56;Allen,1990

2. Estimation of latent evaporation from simple weather observations;Baier;Can. J. Plant Sci.,1965

3. Development of a steady-state model to predict daily water table depth and root zone soil matric potential of a cranberry field with a subirrigation system;Bigah;Agric. Water Manag.,2019

4. Random forests;Breiman;Mach. Learn.,2001

5. Manual on Setting up, Using, and Understanding Random Forests v3. 1;Breiman,2002

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