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Towards Low-Cost Hyperspectral Single-Pixel Imaging for Plant Phenotyping.
Ribes, Mathieu; Russias, Gaspard; Tregoat, Denis; Fournier, Antoine.
Afiliação
  • Ribes M; Department of Crop Phenotyping, Arvalis-Institut du Végétal, 45 voie Romaine, Ouzouer le Marché, 41240 Beauce-la-Romaine, France.
  • Russias G; Department of Biophotonics, Photonics Bretagne, 4 rue Louis de Broglie, 22300 Lannion, France.
  • Tregoat D; Department of Biophotonics, Photonics Bretagne, 4 rue Louis de Broglie, 22300 Lannion, France.
  • Fournier A; Department of Crop Phenotyping, Arvalis-Institut du Végétal, 45 voie Romaine, Ouzouer le Marché, 41240 Beauce-la-Romaine, France.
Sensors (Basel) ; 20(4)2020 Feb 19.
Article em En | MEDLINE | ID: mdl-32093006
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.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Plantas / Análise Espectral / Custos e Análise de Custo / Imageamento Tridimensional Tipo de estudo: Health_economic_evaluation Idioma: En Revista: Sensors (Basel) Ano de publicação: 2020 Tipo de documento: Article País de afiliação: França

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Plantas / Análise Espectral / Custos e Análise de Custo / Imageamento Tridimensional Tipo de estudo: Health_economic_evaluation Idioma: En Revista: Sensors (Basel) Ano de publicação: 2020 Tipo de documento: Article País de afiliação: França