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86. 83. Experiment field. Measurement area of spectral reflectance. 81. 93. 97. 100. 104. 105. Annual meeting on ASA (13th to 15th Nov. 2006 at Indianapolis). Development of Yield and Quality Estimation Methods for Tea-plant by Image Processing.
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86 83 Experiment field Measurement area of spectral reflectance 81 93 97 100 104 105 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), • 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 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. Material and Method ☆Tea plants (camelliasinensis 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 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 Please contact us・・・・ The results 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.