Assessment of optimal irrigation water allocation for pressurized irrigation system using water balance approach, learning machines, and remotely sensed data

Agricultural Water Management

Volumn 153, Issue , 2015, Pages 42-50

  Hassan Esfahani, Leila ^a   Torres Rua, Alfonso ^a   McKee, Mac ^a  

^a UTAH STATE UNIVERSITY   (United States)

Author keywords

Genetic algorithms; Irrigation; Landsat imagery; Optimization; Soil moisture; Water allocation

Indexed keywords

AGRICULTURAL MACHINERY; CROPS; CULTIVATION; EFFICIENCY; GENETIC ALGORITHMS; IRRIGATION; LEARNING SYSTEMS; MOISTURE; OPTIMIZATION; SOIL MOISTURE; SOILS; WATER MANAGEMENT; WATER RESOURCES; WATER SUPPLY;

CENTER PIVOT IRRIGATION SYSTEMS; IRRIGATION WATER ALLOCATION; LANDSAT IMAGERY; SIMULATION AND OPTIMIZATION; SOIL MOISTURE MEASUREMENT; SOIL WATER BALANCE MODEL; WATER ALLOCATIONS; WATER APPLICATION RATE;

SOIL SURVEYS;

ALFALFA; CEREAL; CROP YIELD; DATA SET; GENETIC ALGORITHM; IRRIGATION SYSTEM; LANDSAT; OPTIMIZATION; RESOURCE ALLOCATION; SATELLITE IMAGERY; SOIL MOISTURE; WATER BUDGET; WATER MANAGEMENT; WATER USE EFFICIENCY;

SCIPIO; UNITED STATES; UTAH;

AVENA; MEDICAGO SATIVA; SCIPIO;

EID: 84923546385     PISSN: 03783774     EISSN: 18732283     Source Type: Journal    
DOI: 10.1016/j.agwat.2015.02.005     Document Type: Article

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