Mandarin orange is a popularly consumed fruit in Asian countries. Over 99% of cultivation area in Korea for mandarin oranges is concentrated in Jeju Island. Despite of this high concentration, detecting infection and estimating fruit yields has been done manually, resulting in loss of money and time. In this study, hyperspectral fluorescence imaging technique was explored to distinguish green mandarin oranges from leaves to estimate fruit density. In addition, early stage detection for disease infection of leaves and fruits were investigated. The fluorescence spectral images showed reliable performance for distinguishing green mandarin oranges from leaves, and detecting disease infection on both leaves and fruits. The result demonstrated that hyperspectral fluorescence imaging might be used for rapid and non-destructive detection of disease infection and yield estimation of mandarin orange in the field.

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Jayoung Lee, Irina T. Rodriguez, Hyungjin Bae, Jihoon Bae, Hee-Young Lee, Ana G. Varo, Dolores P. Marin, and Byoungkwan Cho, "Hyperspectral fluorescence imaging for disease monitoring and yield estimation of mandarin orange (Conference Presentation)," Proc. SPIE 10665, Sensing for Agriculture and Food Quality and Safety X, 1066508 (Presented at SPIE Commercial + Scientific Sensing and Imaging: April 18, 2018; Published: 15 May 2018); https://doi.org/10.1117/12.2307705.5783314309001.