SPECTRAL CURVES FOR IDENTIFICATION OF WEEDS IN WHEAT CROP

The principal weeds in wheat cultivation are black oats and ryegrass and their control is generally performed without considering the spatial variability of the density of weed infestation. One way to identify weed species is by analyzing spectral curves of the targets. The objective of this work wa...

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Bibliographic Details
Published in:Engenharia na agricultura 2020-01, Vol.28, p.51-57
Main Authors: Pott, Luan Pierre, Amado, Telmo Jorge Carneiro, Sebem, Elodio, Schwalbert, Raí Augusto
Format: Article
Language:English
Subjects:
Band spectra
Cereal crops
Crops
Cultivation
Experiments
Grain cultivation
Herbicides
Infrared analysis
Oats
Reflectance
Sensors
Software
Species
Spectral bands
Spectroradiometers
Statistical analysis
Variance analysis
Wavelengths
Weeds
Wheat
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Summary:The principal weeds in wheat cultivation are black oats and ryegrass and their control is generally performed without considering the spatial variability of the density of weed infestation. One way to identify weed species is by analyzing spectral curves of the targets. The objective of this work was to evaluate the spectral curves of wheat, black oats and ryegrass to identify which wavelengths are able to distinguish these species. The experiment was set using the species: black oats, ryegrass and wheat. Each species was sown in individual experimental plots in a completely randomized design with nine replications. HandHeld 2, ASD® spectroradiometer with 325-1075 nm spectral range was used to perform readings at full bloom stage. Then, the reflectance spectral data were grouped into eight spectral bands: violet, blue, green, yellow, orange, red, red edge and near infrared. Descriptive statistics of reflectance of the targets as well as analysis of variance (p
ISSN:1414-3984
1414-3984
DOI:10.13083/reveng.v28i.8154