Application of ANFIS to predict crop yield based on different energy inputs

Measurement: Journal of the International Measurement Confederation

Volumn 45, Issue 6, 2012, Pages 1406-1413

  Naderloo, Leila ^a   Alimardani, Reza ^a   Omid, Mahmoud ^a   Sarmadian, Fereydoon ^a   Javadikia, Payam ^b   Torabi, Mohammad Yaser ^a   Alimardani, Fatemeh ^c  

^a UNIVERSITY OF TEHRAN   (Iran)

^b RAZI UNIVERSITY   (Iran)

^c K N TOOSI UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

ANFIS; Artificial intelligence; Energy consumption; Wheat; Yield

Indexed keywords

AGRICULTURE; ARTIFICIAL INTELLIGENCE; DIESEL FUELS; ENERGY UTILIZATION; GRAIN (AGRICULTURAL PRODUCT); MACHINERY;

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; ANFIS; CROP YIELD; ENERGY INPUTS; GRAIN YIELD; HUMAN LABOR; INPUT VECTOR; SEED ENERGY; WHEAT; YIELD; YIELD PRODUCTION;

FORECASTING;

EID: 84975887098     PISSN: 02632241     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.measurement.2012.03.025     Document Type: Article

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