An integrated SVR and crop model to estimate the impacts of irrigation on daily groundwater levels

Agricultural Systems

Volumn 159, Issue , 2018, Pages 248-259

  Guzmán, Sandra M ^a   Paz, Joel O ^a   Tagert, Mary Love M ^a   Mercer, Andrew E ^a   Pote, Jonathan W ^a  

^a MISSISSIPPI STATE UNIVERSITY   (United States)

Author keywords

CROPGRO; DSSAT; Groundwater; Irrigation; Soybean; Support vector machine (SVM)

Indexed keywords

AGRICULTURAL MODELING; CLIMATE CONDITIONS; CROP YIELD; DECISION MAKING; ENVIRONMENTAL IMPACT ASSESSMENT; ESTIMATION METHOD; GROUNDWATER; GROUNDWATER RESOURCE; GROWING SEASON; INTEGRATED APPROACH; IRRIGATION SYSTEM; SEASONAL VARIATION; SOYBEAN; SUPPORT VECTOR MACHINE; WATER LEVEL; WATER USE EFFICIENCY;

MISSISSIPPI RIVER ALLUVIAL PLAIN; UNITED STATES;

GLYCINE MAX;

EID: 85013674477     PISSN: 0308521X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.agsy.2017.01.017     Document Type: Article

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