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Open AccessArticle

Towards Low-Cost Hyperspectral Single-Pixel Imaging for Plant Phenotyping

1
Department of Crop Phenotyping, Arvalis-Institut du Végétal, 45 voie Romaine, Ouzouer le Marché, 41240 Beauce-la-Romaine, France
2
Department of Biophotonics, Photonics Bretagne, 4 rue Louis de Broglie, 22300 Lannion, France
*
Authors to whom correspondence should be addressed.
Sensors 2020, 20(4), 1132; https://doi.org/10.3390/s20041132
Received: 17 January 2020 / Revised: 6 February 2020 / Accepted: 14 February 2020 / Published: 19 February 2020
(This article belongs to the Special Issue Low-Cost Sensors and Vectors for Plant Phenotyping)
Hyperspectral imaging techniques have been expanding considerably in recent years. The cost of current solutions is decreasing, but these high-end technologies are not yet available for moderate to low-cost outdoor and indoor applications. We have used some of the latest compressive sensing methods with a single-pixel imaging setup. Projected patterns were generated on Fourier basis, which is well-known for its properties and reduction of acquisition and calculation times. A low-cost, moderate-flow prototype was developed and studied in the laboratory, which has made it possible to obtain metrologically validated reflectance measurements using a minimal computational workload. From these measurements, it was possible to discriminate plant species from the rest of a scene and to identify biologically contrasted areas within a leaf. This prototype gives access to easy-to-use phenotyping and teaching tools at very low-cost. View Full-Text
Keywords: plant phenotyping; proximal sensing; hyperspectral imaging; single pixel imaging; Fourier patterns plant phenotyping; proximal sensing; hyperspectral imaging; single pixel imaging; Fourier patterns
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MDPI and ACS Style

Ribes, M.; Russias, G.; Tregoat, D.; Fournier, A. Towards Low-Cost Hyperspectral Single-Pixel Imaging for Plant Phenotyping. Sensors 2020, 20, 1132. https://doi.org/10.3390/s20041132

AMA Style

Ribes M, Russias G, Tregoat D, Fournier A. Towards Low-Cost Hyperspectral Single-Pixel Imaging for Plant Phenotyping. Sensors. 2020; 20(4):1132. https://doi.org/10.3390/s20041132

Chicago/Turabian Style

Ribes, Mathieu; Russias, Gaspard; Tregoat, Denis; Fournier, Antoine. 2020. "Towards Low-Cost Hyperspectral Single-Pixel Imaging for Plant Phenotyping" Sensors 20, no. 4: 1132. https://doi.org/10.3390/s20041132

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