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Fig. 2 | Plant Methods

Fig. 2

From: A method for real-time classification of insect vectors of mosaic and brown streak disease in cassava plants for future implementation within a low-cost, handheld, in-field multispectral imaging sensor

Fig. 2

Flowchart of Phase-2 processing. The flowchart depicts the steps undertaken to process the MSI data and classify the viral vectors. The green boxes represent the input data streams: trimmed spectra—low noise spectral data, i.e. 900–1030 nm wavelengths in this case; raw spectra—data as taken from the instruments; body-only spectra—as extracted from the spatial data. The yellow and blue boxes depict the feature reduction and classification stage respectively. Abbreviations used: incremental Principle Component Analysis (iPCA), Support Vector Clustering (SVC)

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