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Taiwan Agricultural Research Institute, Council of Agriculture, Executive Yuan--Publication-Special Publication of TARI-No.193

No.193

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Disease Detection on Strawberry Seedlings using Chlorophyll Fluorescence

Disease Detection on Strawberry Seedlings using Chlorophyll Fluorescence

Yi-Chich Chiu1, Wei-Chih Hsu2

1 Professor, Department of Biomechatronic Engineering, National Ilan University
2 Master, Department of Biomechatronic Engineering, National Ilan University

Abstract

    The objective of this research was to establish a portable chlorophyll fluorescence imaging detection system to detect strawberry seeds disease research, and verify the system is able to capture parts of the disease area from strawberry leafs. By using Mini-PAM chlorophyll fluorescence detection instrument to measure the fluorescent quantum yield, and determine the plants affected from adversities. In this study experiments was using Toyonoka Strawberry seedling and it was 15 days old, and verify the strawberry fluorescence features by instrumentation of spectrum fluorescence meters. The test results showed as below: the excitation wavelength of the health and disease for the Toyonka Strawberry seedling was 460nm, the emission wavelength was 680nm, the wavelength ranging between 420-490nm were used to excite fluorescence, the spectral range of relative strengths emitted was between 670–690nm. In this study, setting the strawberry seedlings into plant growth chamber as the high-temperature stress environment to induced spots, the experimental parameters as ambient temperature was 38 ℃/30℃ (day/night), and the humidity was 80% R.H. The test results showed: under the processing environment, there are 5 of 10 strawberry seedlings improve having spots success, and then detect by using portable chlorophyll fluorescence imaging detection. The results showed this portable chlorophyll fluorescence imaging detection system can find disease spot 16 hours earlier than naked eyes, the detect system has practical value and could be applied in nursery industry management.

Keywords: Chlorophyll, Fluorescence, Imaging Detection, Strawberry, Seedling.

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