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Open AccessArticle

A New Optical Sensor Based on Laser Speckle and Chemometrics for Precision Agriculture: Application to Sunflower Plant-Breeding

1
ITAP, Univ Montpellier, INRAE, Institut Agro, 34000 Montpellier, France
2
Innolea, 6 Chemin des Panedautes, 31700 Mondonville, France
3
Shakti, 45 Rue Frédéric Joliot-Curie, 13013 Marseille, France
4
Aix Marseille Univ, CNRS, Centrale Marseille, Institut Fresnel, 13013 Marseille, France
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(16), 4652; https://doi.org/10.3390/s20164652
Received: 21 July 2020 / Revised: 13 August 2020 / Accepted: 15 August 2020 / Published: 18 August 2020
(This article belongs to the Special Issue Sensors in Agriculture 2020)
New instruments to characterize vegetation must meet cost constraints while providing accurate information. In this paper, we study the potential of a laser speckle system as a low-cost solution for non-destructive phenotyping. The objective is to assess an original approach combining laser speckle with chemometrics to describe scattering and absorption properties of sunflower leaves, related to their chemical composition or internal structure. A laser diode system at two wavelengths 660 nm and 785 nm combined with polarization has been set up to differentiate four sunflower genotypes. REP-ASCA was used as a method to analyze parameters extracted from speckle patterns by reducing sources of measurement error. First findings have shown that measurement errors are mostly due to unwilling residual specular reflections. Moreover, results outlined that the genotype significantly impacts measurements. The variables involved in genotype dissociation are mainly related to scattering properties within the leaf. Moreover, an example of genotype classification using REP-ASCA outcomes is given and classify genotypes with an average error of about 20%. These encouraging results indicate that a laser speckle system is a promising tool to compare sunflower genotypes. Furthermore, an autonomous low-cost sensor based on this approach could be used directly in the field. View Full-Text
Keywords: optical sensor; precision agriculture; plant-breeding; laser speckle; chemometrics; multivariate data analysis; phenotyping; REP-ASCA optical sensor; precision agriculture; plant-breeding; laser speckle; chemometrics; multivariate data analysis; phenotyping; REP-ASCA
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Ryckewaert, M.; Héran, D.; Faur, E.; George, P.; Grèzes-Besset, B.; Chazallet, F.; Abautret, Y.; Zerrad, M.; Amra, C.; Bendoula, R. A New Optical Sensor Based on Laser Speckle and Chemometrics for Precision Agriculture: Application to Sunflower Plant-Breeding. Sensors 2020, 20, 4652.

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