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Using vegetation index and modified derivative for early detection of soybean plant injury from glyphosate

Author
HAIBO YAO1 ; YANBO HUANG2 ; HRUSKA, Zuzana1 ; THOMSON, Steven J2 ; REDDY, Krishna N2
[1] Mississippi State University, Geosystems Research Institute, Stennis Space Center, MS, United States
[2] United States Department of Agriculture, Agricultural Research Service, Crop Production Systems Research Unit, Stoneville, MS, United States
Source

Computers and electronics in agriculture. 2012, Vol 89, pp 145-157, 13 p ; ref : 1/2 p

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
Crop injury Derivatives Glyphosate Reflectance Soybean Vegetation index
Keyword (fr)
Dégât Détection Facteur réflexion Glycine max Glyphosate Indice végétation Soja Angiospermae Dicotyledones Herbicide Leguminosae Légumineuse grain Pesticide Phosphonate organique Spermatophyta Systémique
Keyword (en)
Damage Detection Reflectance Glycine max Glyphosate Vegetation index Soybean Angiospermae Dicotyledones Herbicide Leguminosae Grain legume Pesticides Organic phosphonate Spermatophyta Systemic
Keyword (es)
Estrago Detección Coeficiente reflexión Glycine max Glyphosate Indice de vegetación Soya Angiospermae Dicotyledones Herbicida Leguminosae Leguminosa grano Plaguicida Fosfonato orgánico Spermatophyta Sistémico
Classification
Pascal
002 Biological and medical sciences / 002A Fundamental and applied biological sciences. Psychology / 002A32 Agronomy. Soil science and plant productions

Pascal
002 Biological and medical sciences / 002A Fundamental and applied biological sciences. Psychology / 002A34 Phytopathology. Animal pests. Plant and forest protection / 002A34H Parasitic plants. Weeds / 002A34H02 Weeds

Discipline
Agronomy. Soil sciences and vegetal productions Phytopathology. Agricultural zoology. Crops and forests protection
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
26589764

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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