Visualization of infected regions with spectral data

Emiko Hatsugai; Kanta Sugawara; Shuji Kaneko; Terumi Nishioka; Sachika Nishimura; Shunpei Fujie; Shun Mizote; Yuka Tokunaga; Ikuko Shimizu

doi:10.1117/12.3019930

2 May 2024 Visualization of infected regions with spectral data

Emiko Hatsugai, Kanta Sugawara, Shuji Kaneko, Terumi Nishioka, Sachika Nishimura, Shunpei Fujie, Shun Mizote, Yuka Tokunaga, Ikuko Shimizu

Author Affiliations +

Proceedings Volume 13164, International Workshop on Advanced Imaging Technology (IWAIT) 2024; 1316436 (2024) https://doi.org/10.1117/12.3019930
Event: International Workshop on Advanced Imaging Technology (IWAIT) 2024, 2024, Langkawi, Malaysia

Abstract

Gray mold is recognized as a common disease in tomato production. Once infected, the affected parts change color to a deep brown. However, visual identification of the infection is challenging, making early detection difficult. This study explores the potential of using spectral data to visualize infected regions.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

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Emiko Hatsugai, Kanta Sugawara, Shuji Kaneko, Terumi Nishioka, Sachika Nishimura, Shunpei Fujie, Shun Mizote, Yuka Tokunaga, and Ikuko Shimizu "Visualization of infected regions with spectral data", Proc. SPIE 13164, International Workshop on Advanced Imaging Technology (IWAIT) 2024, 1316436 (2 May 2024); https://doi.org/10.1117/12.3019930

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