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基于3-D數(shù)據(jù)的葉片萎蔫形態(tài)辨識方法
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中央高?;究蒲袠I(yè)務費專項資金資助項目(BLX2013033),、國家自然科學基金資助項目(31371537)和國家自然科學基金青年基金資助項目(31400621)


Identification Methods for Plant Wilting at Leaf-scale Based on 3-D Imaging
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    摘要:

    以西葫蘆為試驗對象,采用非接觸式激光掃描獲取植物葉片3-D形態(tài)信息,,運用微分幾何算法,、二維傅里葉譜分析法、垂直投影葉面積法以及標準差法定義了4種植物萎蔫指數(shù)(TB_3D,、RLWI-2DFT,、RTPLA和RSD)用來定量刻畫植物萎蔫狀態(tài)。試驗結果表明萎蔫指數(shù)能夠很好地定量刻畫植物萎蔫形態(tài),。其中TB_3D與太陽全輻射量,、大氣溫度線性相關,決定系數(shù)取值范圍分別為[0.710, 0.721]和[0.513, 0.589],。TB_3D與莖稈直徑線性相關,,決定系數(shù)為0.845。最后通過比較4種萎蔫指數(shù)刻畫萎蔫狀態(tài)的相關性,,兩兩間決定系數(shù)大于0.736,,結果表明4種指數(shù)的萎蔫表征效果基本一致。

    Abstract:

    To characterize plant wilting status, a laser scanner based on triangulation principle was used to obtain 3-D images of zucchini. Four wilting indices (TB_3D, RLWI-2DFT, RTPLA, RS) were developed by using different mathematic methods (differential geometry, 2D Fourier transform, top projected area, standard deviation) to identify the plant wilting. It was observed that the indices were capable of sensing the stress response of zucchini from slight wilting to severe stress levels. Regression results showed that TB_3D had a linear relationship with ambient temperature and global radiation, the decision coefficient were [0.710, 0.721] and [0.513, 0.589], respectively. Besides, TB_3D was also found to be linearly correlated with stem diameter, and R2 was 0.845. Additionally, the correlations of wilting series characterizing by these four wilting indices were analyzed respectively. The R2 of each two indices was larger than 0.736. The results showed that the four wilting indices had the similar effects.

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蔡祥,孫宇瑞,趙燕東,鄭力嘉,林劍輝.基于3-D數(shù)據(jù)的葉片萎蔫形態(tài)辨識方法[J].農(nóng)業(yè)機械學報,2015,46(5):286-292. Cai Xiang, Sun Yurui, Zhao Yandong, Zheng Lijia, Lin Jianhui. Identification Methods for Plant Wilting at Leaf-scale Based on 3-D Imaging[J]. Transactions of the Chinese Society for Agricultural Machinery,2015,46(5):286-292.

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  • 收稿日期:2014-08-10
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  • 在線發(fā)布日期: 2015-05-10
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