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

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Presentation on theme: "Laser-spectroscopic Information on Agricultural Products as Future Resources for Field server Yasunori Saito *, T. Koga*, T. Matsubara*, Y. Maruyama*,"— Presentation transcript:

1 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 2004.1.28-30

2 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

3 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

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

5 1) Lettuce : Optimal Harvest Time Decision PC Spectrometor & CCD detector Nd:YAG Laser Transmission Fiber Fluorescence Detection Fiber 0 0.5 1 1.5 2 300400500600700800 Wavelength (nm) Relative Intensity LIF Spectra of Lettuce Leaf Mobile LIF Monitoring System Chlorophyll Ferulic Acid & Others

6 Chlorogenic acid Concentration(μg/g) 0 20 40 60 80 100 0102030405060 Days after Planting 98 99 97 98 99 Outer Leaves 0 0.5 1 1.5 Relative Intensity 999897 Harvest time

7 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

8 460nm530nm 685nm 740nm Ferulic acid derivatives Phenylpropanoids NAD(P)H Chlorophyll 0 5 Activated Relative Value to660nm Fluorescence Image Intensity

9 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

10 600700800 Wavelength (nm) F660/F620 F685/F62 0 F720/F62 0 F740/F62 0 Remote Spectral Imaging of LIF

11 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

12 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

13 Thank you very much !! Mahalo Nui Loa !!

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15 LIF ex 2 LIF

16 0 1 2 3 4 5 6 7 8 9 #7#7 #1#1 #9#9 #4#4 #2#2 #0

17 #3#3 #8 #5 #6


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