Determination and modelling of energy consumption in wheat production using neural networks: "A case study in Canterbury province, New Zealand"

Energy

Volumn 36, Issue 8, 2011, Pages 5140-5147

  Safa, M ^a   Samarasinghe, S ^a  

^a LINCOLN UNIVERSITY   (New Zealand)

Author keywords

Artificial neural networks; Energy consumption; Modelling; New Zealand; Wheat

Indexed keywords

ELECTRIC LOAD FORECASTING; ENERGY UTILIZATION; FORECASTING; LINEAR REGRESSION; NEURAL NETWORKS;

ARABLE FARMS; ARTIFICIAL NEURAL NETWORK; DATA COLLECTION; DRYLAND; DRYLAND FARMING; ENERGY INPUTS; ENERGY SOURCE; ENERGY USE; ERROR MARGINS; INDIRECT FACTORS; IRRIGATION FREQUENCY; MODELLING; MULTIPLE LINEAR REGRESSION MODELS; MULTIPLE MODELS; NEW ZEALAND; TOTAL ENERGY CONSUMPTION; TRAINING SETS; WHEAT; WHEAT FIELDS; WHEAT PRODUCTION;

ENERGY HARVESTING;

AGRICULTURAL PRACTICE; AGRICULTURAL PRODUCTION; ARABLE LAND; ARID REGION; ARTIFICIAL NEURAL NETWORK; ENERGY CONSERVATION; ENERGY USE; ESTIMATION METHOD; FREQUENCY ANALYSIS; IRRIGATION; NUMERICAL MODEL; QUESTIONNAIRE SURVEY; WHEAT;

CANTERBURY [KENT]; ENGLAND; KENT; UNITED KINGDOM;

TRITICUM AESTIVUM;

EID: 79961029951     PISSN: 03605442     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.energy.2011.06.016     Document Type: Article

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