100)且(R>G)。通過(guò)提取柑橘個(gè)數(shù)、柑橘總周長(zhǎng)、柑橘總面積3個(gè)特征參數(shù)，分析了特征參數(shù)和柑橘單株產(chǎn)量之間的關(guān)系。實(shí)驗(yàn)證明，經(jīng)過(guò)圖像分析后得出的柑橘數(shù)與柑橘單株產(chǎn)量之間的相關(guān)系數(shù)最高，達(dá)到0.97，說(shuō)明了利用圖像分析方法預(yù)測(cè)柑橘產(chǎn)量具有良好的應(yīng)用前景。"/>

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基于圖像處理的柑橘測(cè)產(chǎn)方法
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Citrus Yield Based on Image Processing
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    摘要:

    利用機(jī)器視覺(jué)技術(shù)可以快速、無(wú)損預(yù)測(cè)柑橘產(chǎn)量。采集了10幅生長(zhǎng)中的柑橘果樹(shù)照片，同時(shí)測(cè)量了每棵果樹(shù)的柑橘產(chǎn)量?；赗GB顏色模型，對(duì)柑橘圖像進(jìn)行分割，柑橘與背景的分割條件為(R-B>100)且(R>G)。通過(guò)提取柑橘個(gè)數(shù)、柑橘總周長(zhǎng)、柑橘總面積3個(gè)特征參數(shù)，分析了特征參數(shù)和柑橘單株產(chǎn)量之間的關(guān)系。實(shí)驗(yàn)證明，經(jīng)過(guò)圖像分析后得出的柑橘數(shù)與柑橘單株產(chǎn)量之間的相關(guān)系數(shù)最高，達(dá)到0.97，說(shuō)明了利用圖像分析方法預(yù)測(cè)柑橘產(chǎn)量具有良好的應(yīng)用前景。

    Abstract:

    The estimation of citrus yield is important to citrus precision management. Fast non-destroyed measure could be achieved using machine vision technology. Ten images of citrus were used in this experiment and yield of each tree was measured in advance. The citrus image was segmented based on the RGB color model. The segment condition for citrus and background is: (R-B>100) & (R>G). The total number, the total perimeter and total area of citrus were computed from the segmented image. The relationship between each image parameter and citrus yield was analysis. The result of experiment shows that the correlation coefficient between the total citrus number and the yield of citrus is 0.97 and indicates that it is has good prospect in the future.

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張亞靜,鄧烈,李民贊,趙瑞嬌,何紹蘭,易時(shí)來(lái).基于圖像處理的柑橘測(cè)產(chǎn)方法[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2009,40(Z1):97-99. Citrus Yield Based on Image Processing[J]. Transactions of the Chinese Society for Agricultural Machinery,2009,40(Z1):97-99.

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