Abstract
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.
Highlights
Global agriculture production is challenged by increasing demands from rising population and a changing climate, which may be alleviated through the development of improved crop cultivars.Modern techniques for crop improvement rely on both DNA sequencing and the accurate quantification of plant traits to identify genes and germplasms of interest
With rapid advances in DNA sequencing technologies, plant phenotyping represents a bottleneck in advancing crop yields
In order to illustrate the performances of the hyperspectral single pixel imaging (HSPI) prototype presented above, we provide the results of two experiments
Summary
Global agriculture production is challenged by increasing demands from rising population and a changing climate, which may be alleviated through the development of improved crop cultivars.Modern techniques for crop improvement rely on both DNA sequencing (called genotyping) and the accurate quantification of plant traits (called phenotyping) to identify genes and germplasms of interest. Global agriculture production is challenged by increasing demands from rising population and a changing climate, which may be alleviated through the development of improved crop cultivars. With rapid advances in DNA sequencing technologies, plant phenotyping represents a bottleneck in advancing crop yields. This phenotyping bottleneck [1] is being tackled by the scientific community with instrumental, infrastructural, method, and model developments to face this major challenge [2]. Not all of these solutions are affordable and expandable. The importance of such instruments for phenotyping is a key issue to develop widespread cost-efficient technologies [3]
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