laser-spectroscopic information on agricultural products as future resources for field server
DESCRIPTION
17th APAN Meetings, University of Hawaii 2004.1.28-30. Laser-spectroscopic Information on Agricultural Products as Future Resources for Field server Yasunori Saito *, T. Koga*, T. Matsubara*, Y. Maruyama*, F. Kobayashi*, Nomura*, H. Ishizawa** and K. Komatsu*** - PowerPoint PPT PresentationTRANSCRIPT
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 Hawaii2004.1.28-30
MotivationFuture field server (next generation) will be requiredmore direct information on health and living status of agricultural products.
PurposeApplication of laser spectroscopy as a new method to collect the direct status information of agricultural productsDiscussion on its possibility and usefulness
Field Server
TemperatureHumiditySun LightCO2Water ContentImage....
Environment Information
+
Direct Status Information
PhysiologicalBiologicalBiophysicalPhotobiologicalEcophysiological…
FurtureField Server
MethodologyLaser-induced Fluorescence Spectroscopy (LIFS)
LIFS for Agriculture Project
Fluorescence EmissionLaser
SampleMolecular
Energy Diagram
Normal
Abnormal
Spectrum
Vegetation Fluorescence as an Index for Photosynthesis, Stress, Disease, Vitality, etc.No-use Chemical SolutionNon Destructive MethodRemote Sensor toward OPTICUL FARMING
Examples
1) Lettuce : Optimal Harvest Time Decision2) Coffee : Leaves Vitality (?) Distribution Map3) Tomato : Seedling’s Remote LIF Imaging
1) Lettuce : Optimal Harvest Time Decision
PC
Spectrometor& CCD detector
Nd:YAGLaser
Laser TransmissionFiber
Fluorescence DetectionFiber
0
0.5
1
1.5
2
300 400 500 600 700 800Wavelength (nm)
Rela
tive I
nte
nsit
y
LIF Spectra of Lettuce Leaf
Mobile LIF Monitoring System
ChlorophyllFerulic Acid& Others
Ch
loro
gen
ic a
cid
C
on
cen
trati
on
(μ
g/g
)
0
20
40
60
80
100
0 10 20 30 40 50 60
Days after Planting
▲ ‘98 ‘99
● ‘ 97▲ ‘ 98 ■ ‘ 99
Outer Leaves
0
0.5
1
1.5
Rela
tive I
nte
nsit
y
‘99‘98‘97Harvest time
■■
■
■
■
■
2 ） Coffee Tree Leaves : Vitality (?) Distribution Map
Image IntensifiedCooled CCD
Camera
CW VioletDiode Laser
Liquid CrystalTunable
Filter
PC
Coffee Tree LIF Imaging System
Controll Units
460nm 530nm 685nm 740nm
Ferulic acid derivativesPhenylpropanoidsNAD(P)H
Chlorophyll
0 5
Activated？
Relative Value to 660nm Fluorescence Image Intensity
3) Tomato : Seedling Remote LIF Imaging
1.5m
0.3m
CameraController
Gated ICCDCamera
Liquid Crystal Tunable Filter
Tomato Seedling
Fluorescence
Nd:YAG Laser
PC
15m
600 700 800
Wavelength (nm)
F660/F620
F685/F620
F720/F620
F740/F620
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 !!
１） LIF スペクトル情報取得
ex 2 ） 形態付属情報の取得 実験方法 ハウス管理栽培トマト葉 移動型 LIF スペクトル計測装置
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