Abstract
Low-cost phenotyping using proximal sensors is increasingly becoming popular in plant breeding. As these techniques generate a large amount of data, analysis pipelines that do not require expertise in computer programming can benefit a broader user base. In this work, a new online tool Specalyzer is presented that allows interactive analysis of the spectral reflectance data generated by proximal spectroradiometers. Specalyzer can be operated from any web browser allowing data uploading, analysis, interactive plots and exporting by point and click using a simple graphical user interface. Specalyzer is evaluated with case study data from a winter wheat fertilizer trial with two fertilizer treatments. Specalyzer can be accessed online at http://www.specalyzer.org.
Highlights
High-throughput plant phenotyping (HTPP) is becoming increasingly popular with the development of new low-cost phenotyping technologies and sensors
Sensors are available for estimating spectral reflectance in the leaves of individual plants or small plots to large scale phenotyping of big farms with unmanned aerial vehicles mounted with hyperspectral cameras or with satellite imaging (Muñoz Huerta et al, 2013; Tattaris, Reynolds & Chapman, 2016)
Canopy biomass and nitrogen status in wheat was estimated with a proximal spectrometer with a wavelength range of 400–900 nm mounted on a tractor (Hansen & Schjoerring, 2003), leaf area index in rice was measured with a handheld spectrometer with a wavelength range of 250–2,500 nm (Wang et al, 2007), nitrogen uptake in winter wheat was estimated with a handheld spectrometer with a wavelength range of 350–1,000 nm (Yao et al, 2013), grain yield and protein content in winter wheat was measured with a handheld spectroradiometer with a wavelength range of 447–1,752 nm
Summary
High-throughput plant phenotyping (HTPP) is becoming increasingly popular with the development of new low-cost phenotyping technologies and sensors. HTPP can be performed on individual plants, trial plots or big farms. Sensors are available for estimating spectral reflectance in the leaves of individual plants or small plots to large scale phenotyping of big farms with unmanned aerial vehicles mounted with hyperspectral cameras or with satellite imaging (Muñoz Huerta et al, 2013; Tattaris, Reynolds & Chapman, 2016). Phenotyping by proximal spectroradiometers can be performed to estimate various traits in several different crops. Canopy biomass and nitrogen status in wheat was estimated with a proximal spectrometer with a wavelength range of 400–900 nm mounted on a tractor (Hansen & Schjoerring, 2003), leaf area index in rice was measured with a handheld spectrometer with a wavelength range of 250–2,500 nm (Wang et al, 2007), nitrogen uptake in winter wheat was estimated with a handheld spectrometer with a wavelength range of 350–1,000 nm (Yao et al, 2013), grain yield and protein content in winter wheat was measured with a handheld spectroradiometer with a wavelength range of 447–1,752 nm
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