Hyperspectral imaging system for disease scanning on banana plants

Daniel Ochoa; Juan Cevallos; German Vargas; Ronald Criollo; Dennis Romero; Rodrigo Castro; Oswaldo Bayona

doi:10.1117/12.2224242

17 May 2016 Hyperspectral imaging system for disease scanning on banana plants

Daniel Ochoa, Juan Cevallos, German Vargas, Ronald Criollo, Dennis Romero, Rodrigo Castro, Oswaldo Bayona

Proceedings Volume 9864, Sensing for Agriculture and Food Quality and Safety VIII; 98640M (2016) https://doi.org/10.1117/12.2224242
Event: SPIE Commercial + Scientific Sensing and Imaging, 2016, Baltimore, MD, United States

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.

Citation Download Citation

Daniel Ochoa, Juan Cevallos, German Vargas, Ronald Criollo, Dennis Romero, Rodrigo Castro, and 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); https://doi.org/10.1117/12.2224242

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