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基于三維點云顏色特征的蘋果樹冠層光照分布計算方法
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國家自然科學基金資助項目(31371532)


Calculation of Light Distribution of Apple Tree Canopy Based on Color Characteristics of 3D Point Cloud
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    摘要:

    合理的果樹冠層結(jié)構(gòu)有利于獲取充足的光照,對提升果實產(chǎn)量及品質(zhì)具有重要意義。為了揭示果樹冠層光照分布規(guī)律,以自由紡錘形蘋果樹為研究對象,,以目標圖像的顏色變化與光照強弱存在相關(guān)性為理論依據(jù),,首先利用Trimble TX5型地面三維激光掃描儀以“頂視法”獲取葉幕穩(wěn)定期蘋果樹冠層三維點云,,按照實際蘋果樹冠層劃分方法,,提取三維點云空間不同區(qū)域的顏色特征,,針對自然環(huán)境下蘋果樹冠層顏色特征具有復雜性和模糊性,,不能采用精確,、定量的符號對其進行描述的不足,構(gòu)建以顏色特征為輸入,、相對光照強度為輸出的模糊神經(jīng)網(wǎng)絡,,以此作為蘋果樹冠層光照分布預測模型。試驗結(jié)果表明:提出的基于三維點云顏色特征的光照分布計算方法具有較好的可行性,,預測精度為80.57%,,能夠為科學合理的蘋果樹修剪和整形提供技術(shù)支撐。

    Abstract:

    Study on light distribution of apple tree canopy is one of the important ways to optimize type of fruit trees and improve potential production. The reasonable and effective use of light energy and optimization of light distribution within fruit tree canopy have vital significance for the formation of fruit tree growth and fruit quality. Calculation method of light distribution of free spindle apple canopy was carried out. In recent years, there were several researches on light distribution of plant canopy on the basis of three dimensional morphology of plant canopy by using mathematical simulation methods which could not express the real light distribution. In order to reveal real light distribution rule of canopy intelligently and efficiently, apple trees of spindle shape were selected as research objects, and based on the correlation that the target image color changed with the light intensity. Firstly, 3D point cloud of apple tree canopy in leaf curtain stability period was captured by Trimble TX5 laser scanner; secondly, according to the actual canopy division method, color information of different areas in 3D canopy space was extracted; thirdly, aiming at the shortcomings of complexity, fuzziness and indescribability by precise and quantitative symbols under natural environment, the fuzzy neural network was constructed to predict light distribution with color characteristic as input and relative light intensity as output. The experimental results showed that the precision of the proposed method had good feasibility, the prediction accuracy was 80.57%. The result of this study will provide theoretical basis for scientific pruning to get the best light distribution.

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馬曉丹,郭彩玲,張雪,馬麗,張麗嬌.基于三維點云顏色特征的蘋果樹冠層光照分布計算方法[J].農(nóng)業(yè)機械學報,2015,46(6):263-268. Ma Xiaodan, Guo Cailing, Zhang Xue, Ma Li, Zhang Lijiao. Calculation of Light Distribution of Apple Tree Canopy Based on Color Characteristics of 3D Point Cloud[J]. Transactions of the Chinese Society for Agricultural Machinery,2015,46(6):263-268.

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  • 收稿日期:2015-04-02
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  • 在線發(fā)布日期: 2015-06-10
  • 出版日期: 2015-06-10
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