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基于傳感器融合陣列的果樹冠層信息采集方法
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山東省重點研發(fā)計劃項目(2015GNC112004)、山東省農業(yè)重大應用技術提升項目、山東省自然科學基金項目(ZR2018MC017)和國家重點研發(fā)計劃項目(2017YFD0700500)


Canopy Information Acquisition Method of Fruit Trees Based on Fused Sensor Array
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    摘要:

    針對果園上、中、下冠層不同稀疏度,提出一種多傳感器陣列的果樹冠層信息融合方法(簡稱傳感器融合陣列),并進行了相關試驗及驗證。首先設計了果園冠層寬度信息的無線采集系統(tǒng),并對比分析了6種非接觸式測距傳感器的動態(tài)識別能力;其次采用篩選出的激光傳感器及超聲波傳感器陣列,收集3種果園上、中、下果樹冠層信息;最后選出適合3種果園的傳感器融合陣列,依據Box-Benhnken 中心組合試驗法設計試驗,對采用同種傳感器陣列與傳感器融合陣列測距方案進行響應面試驗,并對得出的試驗結果進行統(tǒng)計分析。試驗結果表明:影響果樹整體測量精度顯著性水平從大到小依次為測距方案、車體速度、果園類型。車速為0.3~0.5m/s時,與人工測量相比,采用超聲波傳感器陣列收集果園冠層信息,相對誤差為14.70%~20.04%;采用激光傳感器陣列時,相對誤差為9.13%~16.02%,采用傳感器融合陣列時,相對誤差為4.2%~10.24%。采用傳感器融合陣列比單種傳感器陣列精度高,更適合果園變量噴霧作業(yè)。

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    In order to distinguish different sparse degrees of top, middle and bottom canopy in orchard, canopy information acquisition method of fruit trees was proposed based on fused sensor array. First of all, the wireless acquired system was designed, which was used to collect canopy width information in orchard. And in order to verify sensor ability to recognize objects in motion, the dynamic recognition capability of six non-contact distance sensors was compared and analyzed. Secondly, laser sensors and ultrasonic sensors array which were filtrated to collect canopy information was used, which incorporated sparse degree and width of top, middle and bottom canopy in three kinds of orchard. Finally, fused sensor array that was suitable for three kinds of orchard was selected. According to Box-Benhnken center combination test method, the orthogonal experiment was designed, including three factors and three levels. And appropriate ranging scheme was selected by response surface experiments and the results of testing were statistically analyzed. The significance level of the overall measurement accuracy of fruit trees from large to small was ranging scheme,car-body speed and orchard type in turn.When vehicle speed was 0.3~0.5m/s, using ultrasonic sensor array to collect canopy information of orchard, the relative error was 14.70%~20.04%. When laser sensor array was used to collect canopy information of orchard, its relative error was 9.13%~16.02%. And when fused sensor array was used for three orchards, its relative error was 4.2%~10.24%. Therefore, the fused sensor array scheme was more accurate than the single sensor array, and it was more suitable for the orchard variable spray operation.

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劉理民,王金宇,毛文華,石光智,張曉輝,姜紅花.基于傳感器融合陣列的果樹冠層信息采集方法[J].農業(yè)機械學報,2018,49(s1):347-353,359. LIU Limin, WANG Jinyu, MAO Wenhua, SHI Guangzhi, ZHANG Xiaohui, JIANG Honghua. Canopy Information Acquisition Method of Fruit Trees Based on Fused Sensor Array[J]. Transactions of the Chinese Society for Agricultural Machinery,2018,49(s1):347-353,359.

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  • 收稿日期:2018-07-15
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  • 在線發(fā)布日期: 2018-11-10
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