Soft computing applied to stem water potential estimation: A fuzzy rule based approach

Computers and Electronics in Agriculture

Volumn 115, Issue , 2015, Pages 150-160

  Valdés Vela, Mercedes ^a   Abrisqueta, Isabel ^b   Conejero, Wenceslao ^b   Vera, Juan ^b   Ruiz Sánchez, M Carmen ^b  

^a UNIVERSITY OF MURCIA   (Spain)

^b RESEARCH GROUP ON QUALITY   (Spain)

Author keywords

Fuzzy clustering; Fuzzy modeling; Model interpretability; Soft computing; Stem water potential estimation; TSK FIS

Indexed keywords

ATMOSPHERIC TEMPERATURE; FUZZY CLUSTERING; FUZZY RULES; LINEAR SYSTEMS; SOFT COMPUTING; SOIL MOISTURE; SOILS;

FUZZY MODELING; INTERPRETABILITY; NEURO-FUZZY APPROACH; SIMPLIFICATION METHOD; SOFTCOMPUTING TECHNIQUES; STEM WATER POTENTIALS; TAKAGI-SUGENO-KANG FUZZY INFERENCE SYSTEMS; TSK-FIS;

FUZZY INFERENCE;

ACCURACY ASSESSMENT; AGROMETEOROLOGY; AIR TEMPERATURE; AUTOMATION; ESTIMATION METHOD; FUZZY MATHEMATICS; MODEL TEST; OPTIMIZATION; PLANT WATER RELATIONS; SOFTWARE; SOIL WATER; STEM; WATER CONTENT;

EID: 84930936772     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compag.2015.05.019     Document Type: Article

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