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基于混合差分AIC算法的植物莖體超聲回波位置檢測
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國家自然科學基金項目(61661050)和昆明市林業(yè)信息工程技術(shù)研究中心重點項目(2015FIA02)


Automatic Primary Echo Position Detection on Ultrasound in Plant Stem with Mixed Difference of Akaike Information Criterion
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    摘要:

    在植物莖體超聲回波檢測中,超聲一次回波位置的確定是超聲檢測的基礎(chǔ),。因莖體為非均勻、強衰減的介質(zhì),,超聲在其傳播過程中形成了復雜的傳播路徑,這導致超聲一次回波位置不易判定,。提出了混合差分的最小信息準則(Akaike of information criterion,, AIC)算法,可自動有效地獲取莖體超聲一次回波位置信息,。首先,,分析該算法的實現(xiàn)過程并通過仿真實驗驗證了該檢測方法的準確性;其次,,以莖體木塊為檢測對象,,分析了超聲一次回波位置變化與莖體水分變化的關(guān)系,發(fā)現(xiàn)超聲一次回波位置可有效跟蹤莖體水分變化,。最后,,以不同土壤濕度環(huán)境下種植的向日葵為檢測對象,在09:00—19:00期間完成向日葵莖體超聲一次回波位置的動態(tài)檢測,。實驗結(jié)果表明,,向日葵莖體超聲一次回波位置的變化與土壤濕度變化呈正相關(guān)。不同土壤濕度的向日葵莖體超聲檢測差異明顯:當土壤短時缺水,,莖體超聲一次回波位置與土壤水分變化波動明顯,,符合因短時缺水導致的植物抗旱調(diào)節(jié)活動與正常的水分吸收與蒸騰活動不斷轉(zhuǎn)換的生理活動特點;當土壤水分充盈時,,莖體超聲一次回波位置和土壤水分變化緩和,同時,,在11:00—12:00期間,,出現(xiàn)土壤水分最小值與超聲一次回波位置最大值,符合因蒸騰作用導致莖體水分下降的生理特點,?;旌喜罘諥IC算法可自動,、有效地獲取植物莖體的超聲一次回波位置,該信息可作為動態(tài)跟蹤植物莖體生長狀態(tài)的檢測特征,。

    Abstract:

    Detecting the primary echo position is the basis of ultrasonic detection for plant stems. Due to the inhomogeneity and strong attenuation of plant stems,,the ultrasonic propagation paths in them are more complex than those in the homogeneous medium, which makes the primary ultrasonic echo position difficult to detect. An improved Akaike of information criterion (AIC) was proposed to detect the position of the ultrasonic primary echo in plant stems. First of all, the improved algorithm was analyzed and its accuracy was verified by a set of simulated signals. Then, a set of cutting wood samples was taken to the ultrasonic detection in the process of the water absorption. The results showed that ultrasonic primary echo positions dynamically indicated changes of water content in wood. Finally, living sunflowers with different soil moistures were set to the ultrasonic detection from 09:00 to 19:00 in situ. The results showed that the soil moisture and the primary ultrasonic echo position had the positive correlation. Meanwhile, the results showed the ultrasonic detection of sunflower stems with different soil moistures were significantly distinct. When the soil was short of water, the primary echo position and the soil moisture both fluctuated greatly and accordantly, which was consistent with the physiological activities, switching from drought resistance regulation to normal water absorption and transpiration. In contrast, when the soil moisture was filling, the primary echo position and the soil moisture both vitiated slightly. Under this condition, it was found that the soil moisture reached minimum value and the primary echo position reached maximum values in 11:00—12:00, which were consistent with the dropped water content in stems to the minimum caused by the strongest transpiration at that time. Therefore, the primary echo position of plant stems detected by mixed difference AIC can be a feature to the dynamic detection of the growth status of plant stems.

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呂丹桔,施心陵,董易,王躍民,王霞,王超.基于混合差分AIC算法的植物莖體超聲回波位置檢測[J].農(nóng)業(yè)機械學報,2018,49(7):153-159. Lü Danju, SHI Xinling, DONG Yi, WANG Yuemin, WANG Xia, WANG Chao. Automatic Primary Echo Position Detection on Ultrasound in Plant Stem with Mixed Difference of Akaike Information Criterion[J]. Transactions of the Chinese Society for Agricultural Machinery,2018,49(7):153-159.

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  • 收稿日期:2017-11-30
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  • 在線發(fā)布日期: 2018-07-10
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