Transcript スライド 1 - Confex

Annual meeting on ASA (13th to 15th Nov. 2006 at Indianapolis)
Development of Yield and Quality Estimation Methods for Tea-plant by Image Processing.
Ishikawa Daitaro1), Ishiguro Etsuji1), Sekioka Shin-ichi1), Okamoto Tsuyoshi2), Nesumi Atsushi2), Ohba Kazuhiko3),
1) Faculty of Agriculture, Kagoshima University, 1-21-24 Korimoto, Kagoshima, 890-0065, Japan
2) National Agric. and Bio-Oriented Res. Organization, 87 Seto-cho, Makurazaki, Kagoshima, 898-0082, Japan
3) National Agric. and Bio-Oriented Res. Organization, 2421 Suya, Goushi, Kumamoto, 861-1192, Japan
The purpose
Material and Method
This study was focused on developing a new estimation technique of growth levels and quality of tea plants with
nondestructive and real time measurement. Therefore, the relationship among spectral reflectance, leaf
temperature, chlorophyll and other traits of tea plants were investigated.
☆Tea plants (camellia sinensis L. cv. Yabukita)
(At National Institute of Vegetable and Tea Science,
NARO, Makurazaki)
✓ N-fertilizing conditions：0%, 50%, 100%, 150%,
200% / standard fertilize; 40kg/year/10a
☆Non-distractive measurement
①Spectral reflectance
Areas; 30cm x 30cm
Experiment field
SPEC:3nm、400～1100nm、3° ：KE-1
1nm、300～2500nm、25°：Field Spec
②Spectral image
Image interpretation
using ERDAS IMAGINE
☆As usual measurement
Areas; 30cm x 30cm
Picked up tea leaves in
Analyzed the components
by NIR-Analyzer
Minimum
Maximum
Shadow
3.02±1.52
7.36±0.59
Old Leaves
――――
9.82±0.43
――――
11.99±0.90
14.75±0.68
25.79±0.19
28.71±0.67
31.58±1.24
――――
35.99±1.66
Dark Port in New
Leaves
New Leaves
Bright Port in New
Leaves
Most Bright Port
in New Leaves
Eigenvalue
Contribution
Ratio(%)
Accumulated
Contribution
Ratio(%)
No.1
2.2504
75.01
75.01
No.2
0.5401
18.00
93.02
No.3
0.2095
6.98
100.00
Principal
Component
Measurement area of spectral reflectance
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The results
81
97
83
86
100
104
93
105
The spectral reflectance measured without contacting a
plant non-destructively is effective in evaluating the leaf
growing condition, estimating the leaf quality, and
determining the optimal leaf picking day for the best leaf
quality.
It can be an alternative to conventional methods using a
chlorophyll meter. Moreover, the spectral images taken by a
video camera with band pass filters will make it possible to
analyze differences of growth stages of plants.