17 May 2016 Hyperspectral imaging system for disease scanning on banana plants
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Abstract
Black Sigatoka (BS) is a banana plant disease caused by the fungus Mycosphaerella fijiensis. BS symptoms can be observed at late infection stages. By that time, BS has probably spread to other plants. In this paper, we present our current work on building an hyper-spectral (HS) imaging system aimed at in-vivo detection of BS pre-symptomatic responses in banana leaves. The proposed imaging system comprises a motorized stage, a high-sensitivity VIS-NIR camera and an optical spectrograph. To capture images of the banana leaf, the stage's speed and camera's frame rate must be computed to reduce motion blur and to obtain the same resolution along both spatial dimensions of the resulting HS cube. Our continuous leaf scanning approach allows imaging leaves of arbitrary length with minimum frame loss. Once the images are captured, a denoising step is performed to improve HS image quality and spectral profile extraction.
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Daniel Ochoa, Daniel Ochoa, Juan Cevallos, Juan Cevallos, German Vargas, German Vargas, Ronald Criollo, Ronald Criollo, Dennis Romero, Dennis Romero, Rodrigo Castro, Rodrigo Castro, Oswaldo Bayona , Oswaldo Bayona , } "Hyperspectral imaging system for disease scanning on banana plants", Proc. SPIE 9864, Sensing for Agriculture and Food Quality and Safety VIII, 98640M (17 May 2016); doi: 10.1117/12.2224242; https://doi.org/10.1117/12.2224242
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