Laser-spectroscopic Information on Agricultural Products as Future Resources for Field server Yasunori Saito *, T. Koga*, T. Matsubara*, Y. Maruyama*,

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Laser-spectroscopic Information on Agricultural Products as Future Resources for Field server Yasunori Saito *, T. Koga*, T. Matsubara*, Y. Maruyama*, F. Kobayashi*, A.Nomura*, H. Ishizawa** and K. Komatsu*** *Shinshu University (Engineering), Nagano, Japan **Shinshu University (Textile Science & Technology), Ueda, Japan ***Nagano Vegetable and Ornamental Crops Experiment Station, Nagano, Japan 17th APAN Meetings, University of Hawaii

Motivation Future field server (next generation) will be required more direct information on health and living status of agricultural products. Purpose Application of laser spectroscopy as a new method to collect the direct status information of agricultural products Discussion on its possibility and usefulness Field Server Temperature Humidity Sun Light CO2 Water Content Image.... Environment Information + Direct Status Information Physiological Biological Biophysical Photobiological Ecophysiological … Furture Field Server

Methodology Laser-induced Fluorescence Spectroscopy (LIFS) LIFS for Agriculture Project Fluorescence Emission Laser Sample Molecular Energy Diagram Normal Abnormal Spectrum Vegetation Fluorescence as an Index for Photosynthesis, Stress, Disease, Vitality, etc. No-use Chemical Solution Non Destructive Method Remote Sensor toward OPTICUL FARMING

Examples 1) Lettuce : Optimal Harvest Time Decision 2) Coffee : Leaves Vitality (?) Distribution Map 3) Tomato : Seedlings Remote LIF Imaging

1) Lettuce : Optimal Harvest Time Decision PC Spectrometor & CCD detector Nd:YAG Laser Transmission Fiber Fluorescence Detection Fiber Wavelength (nm) Relative Intensity LIF Spectra of Lettuce Leaf Mobile LIF Monitoring System Chlorophyll Ferulic Acid & Others

Chlorogenic acid Concentration(μg/g) Days after Planting Outer Leaves Relative Intensity Harvest time

2 Coffee Tree Leaves : Vitality (?) Distribution Map Image Intensified Cooled CCD Camera CW Violet Diode Laser Liquid Crystal Tunable Filter PC Coffee Tree LIF Imaging System Controll Units

460nm530nm 685nm 740nm Ferulic acid derivatives Phenylpropanoids NAD(P)H Chlorophyll 0 5 Activated Relative Value to660nm Fluorescence Image Intensity

3) Tomato : Seedling Remote LIF Imaging 1.5m 0.3m Camera Controller Gated ICCD Camera Liquid Crystal Tunable Filter Tomato Seedling Fluorescence Nd:YAG Laser PC 15m

Wavelength (nm) F660/F620 F685/F62 0 F720/F62 0 F740/F62 0 Remote Spectral Imaging of LIF

Conclusion Proposal : LIF information for a future field server System development and discussion of the usefulness 1) Lettuce : Optimal harvest time decision 2) Coffee tree leaves : Vitality distribution map 3) Tomato : Remote LIF imaging Needs direct comparison to physiological data (evidence) More experimental discussion required

Conclusion Proposal : LIF information for a future field server System development and discussion of the usefulness 1) Lettuce : Optimal harvest time decision 2) Coffee tree leaves : Vitality distribution map 3) Tomato : Remote LIF imaging Needs direct comparison to physiological data (evidence) More experimental discussion required Field Server Plan

Thank you very much !! Mahalo Nui Loa !!

LIF ex 2 LIF

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