Spectral curves for identification of weeds in wheat crop





reflectance, spectral bands, wavelengths


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<0.05) and test of Tukey for comparison of the means (p<0.01) were performed using the reflectance measurement of each spectral band. The results showed that the yellow and orange spectral bands obtained higher capacities of differentiation of the species under study. It can be concluded that the analysis of spectral curves of target of black oat and ryegrass weeds and wheat crop makes it possible to differentiate species in full bloom stage.


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Biografia do Autor

Luan Pierre Pott, Universidade Federal de Santa MariaKansas State University

Mestrando em Engenharia Agrícola na Universidade Federal de Santa Maria, com período sandwich em Kansas State University

Telmo Jorge Carneiro Amado

Professor Titular UFSM, PPG Mestrado em Agricultura de Precisão e Engenharia Agrícola

Elodio Sebem

Professor UFSM, PPG Mestrado em Agricultura de Precisão

Raí Augusto Schwalbert, UFSM

Doutorando em Engenharia Agrícola UFSM


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Como Citar

Pott, L. P., Amado, T. J. C., Sebem, E., & Schwalbert, R. A. (2020). Spectral curves for identification of weeds in wheat crop. Revista Engenharia Na Agricultura - REVENG, 28(Contínua), 51–57. https://doi.org/10.13083/reveng.v28i.8154



Mecanização Agrícola

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