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

Author
REDDERSEN, Björn1 ; FRICKE, Thomas1 ; WACHENDORF, Michael1
[1] Department of Grassland Science and Renewable Plant Resources, University of Kassel, Steinstr. 19, 37213 Witzenhausen, Germany
Source

Computers and electronics in agriculture. 2014, Vol 109, pp 247-260, 14 p ; ref : 1 p.1/4

CODEN
CEAGE6
ISSN
0168-1699
Scientific domain
Agronomy, agriculture, phytopathology; Electronics; Computer science
Publisher
Elsevier, Amsterdam
Publication country
Netherlands
Document type
Article
Language
English
Author keyword
Biomass Grassland LAI Ultrasonic sensor Vegetation index
Keyword (fr)
Biomasse Capteur mesure Détection ultrason Exploitation herbage Indice foliaire Indice végétation Prairie Prédiction Transducteur ultrason
Keyword (en)
Biomass Measurement sensor Ultrasonic detection Grassland management Leaf area index Vegetation index Grassland Prediction Ultrasonic transducer
Keyword (es)
Biomasa Captador medida Detección ultrasonido Manejo de praderas Indice foliar Indice de vegetación Pradera Predicción Transductor ultrasonido
Classification
Pascal
002 Biological and medical sciences / 002A Fundamental and applied biological sciences. Psychology / 002A32 Agronomy. Soil science and plant productions

Discipline
Agronomy. Soil sciences and vegetal productions
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
29009609

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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