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基于廣角攝影技術的柑橘樹冠層葉面積指數(shù)檢測系統(tǒng)
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國家自然科學基金資助項目（30871450）、現(xiàn)代農業(yè)產業(yè)技術體系建設專項資金資助項目（CARS-27）、公益性行業(yè)（農業(yè)）科研專項經費資助項目（201203016）和惠州市產學研結合項目（2013B050013015）


Detecting System of Citrus Canopy LAI Based on Wide-angle Photographing Technology
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    摘要:

    提出一種基于廣角攝像技術的柑橘樹葉面積指數(shù)快速、簡易檢測方法。將廣角攝像鏡頭拍攝的柑橘樹圖像導入計算機，進行灰度化、圖像增強、濾波處理與二值化處理，計算出柑橘樹冠層的孔隙率，據(jù)此推導柑橘樹冠層葉面積指數(shù)。試驗以掃描法檢測結果作為真實值，并以加拿大WinSCANOPY型冠層分析儀與本系統(tǒng)作檢測效果對比，結果表明在同等試驗條件下，利用WinSCANOPY型冠層分析儀檢測柑橘樹葉面積指數(shù)的相對誤差變化范圍為-30.39%~43.53%，相對誤差絕對值的平均值為18.90%，本系統(tǒng)檢測的相對誤差變化范圍為-27.26%~37.06%，相對誤差絕對值的平均值為19.91%，滿足柑橘樹冠層LAI檢測試驗要求。

    Abstract:

    An innovative way was proposed to detect citrus canopy LAI fast and easily based on wide-angle photographing technology. The citrus canopy images obtained by wide-angle lens were first sent into computer. And then the images were grayed, enhanced, filtered and binarized. The system calculated the citrus canopy gap fraction and derived LAI. The citrus canopy LAI detected by scanning method was taken as true value in the whole experiment. The Canadian WinSCANOPY was used in comparison with the system in detecting effect. The result of data collection experiment showed that the variation range of relative error was -30.39%~43.53% and the average of absolute relative error was 18.90% by the Canadian WinSCANOPY. The variation range of relative error was -27.26%~37.06% and the average of absolute relative error was 19.91% by the system based on same test condition. This system meets test requirements of citrus canopy LAI detecting.

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吳偉斌,馮灼峰,洪添勝,張立俊,杜俊毅,黃雙萍.基于廣角攝影技術的柑橘樹冠層葉面積指數(shù)檢測系統(tǒng)[J].農業(yè)機械學報,2014,45(8):276-281. Wu Weibin, Feng Zhuofeng, Hong Tiansheng, Zhang Lijun, Du Junyi, Huang Shuangping. Detecting System of Citrus Canopy LAI Based on Wide-angle Photographing Technology[J]. Transactions of the Chinese Society for Agricultural Machinery,2014,45(8):276-281.

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  • 收稿日期:2014-03-03
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  • 在線發(fā)布日期: 2014-08-10
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