A multi-sensor approach for predicting biomass of extensively managed grassland

Computers and Electronics in Agriculture

Volumn 109, Issue , 2014, Pages 247-260

  Reddersen, Björn ^a   Fricke, Thomas ^a   Wachendorf, Michael ^a  

^a UNIVERSITY OF KASSEL   (Germany)

Author keywords

Biomass; Grassland; LAI; Ultrasonic sensor; Vegetation index

Indexed keywords

BIOMASS; FORECASTING; INFORMATION MANAGEMENT; MIXTURES; REGRESSION ANALYSIS; ULTRASONIC SENSORS;

GRASSLAND; LAI; MANAGEMENT SYSTEMS; MULTIPLE REGRESSION ANALYSIS; PHALARIS ARUNINACEA; PREDICTION ACCURACY; SENSOR MEASUREMENTS; VEGETATION INDEX;

VEGETATION;

BIOMASS; GRASSLAND; LEAF AREA INDEX; MULTIPLE REGRESSION; NDVI; PERFORMANCE ASSESSMENT; PREDICTION; SENSOR; WAVELENGTH;

PHALARIS; PHALARIS ARUNDINACEA;

EID: 84930936368     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compag.2014.10.011     Document Type: Article

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