Investigation of deficit irrigation strategies combining SVAT-modeling, optimization and experiments

Environmental Earth Sciences

Volumn 72, Issue 12, 2014, Pages 4901-4915

  Kloss, Sebastian ^a   Grundmann, Jens ^a   Seidel, Sabine J ^a   Werisch, Stefan ^a   Trümmner, Jörn ^b   Schmidhalter, Urs ^b   Schütze, Niels ^a  

^a DRESDEN UNIVERSITY OF TECHNOLOGY   (Germany)

^b TECHNICAL UNIVERSITY OF MUNICH   (Germany)

Author keywords

Deficit irrigation; Maize; Sensor based irrigation control; Simulation optimization; SVAT modeling; Water productivity

Indexed keywords

PRODUCTIVITY; SOIL MOISTURE; WATER MANAGEMENT;

DEFICIT IRRIGATION; IRRIGATION CONTROLS; MAIZE; SVAT MODEL; WATER PRODUCTIVITY;

IRRIGATION;

ALGORITHM; GROWTH RATE; IRRIGATION; MAIZE; OPTIMIZATION; SENSOR; SIMULATION; SOIL ANALYSIS; SOIL WATER; TENSIOMETER; WATER CONTENT; WATER DEMAND;

ZEA MAYS;

EID: 84912055106     PISSN: 18666280     EISSN: 18666299     Source Type: Journal    
DOI: 10.1007/s12665-014-3463-7     Document Type: Article

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