Classification models for automatic identification of daily states from leaf turgor related measurements in olive-Reference-Cited by-同舟云学术

Classification models for automatic identification of daily states from leaf turgor related measurements in olive

Published:2017-11 Issue: Volume:142 Page:181-189
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Fernandes Rafael Dreux Miranda,Cuevas Maria Victoria,Hernandez-Santana Virginia,Rodriguez-Dominguez Celia M.,Padilla-Díaz Carmen M.,Fernández José Enrique

Funder

Spanish Ministry of Economy and Competitiveness

Junta de Andalucía

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference22 articles.

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2. A survey of cross-validation procedures for model selection;Arlot;Stat. Surv.,2010

3. Assessing water stress in a hedgerow olive orchard from sap flow and trunk diameter measurements;Cuevas;Irrig. Sci.,2013

4. Leaf patch clamp pressure probe measurements on olive leaves in a nearly turgorless state;Ehrenberger;Plant Biol.,2012

5. Sodium replacement of potassium in physiological processes of olive trees (var. Barnea) as affected by drought;Erel;Tree Physiol.,2014

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