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基于LabVIEW的小麥生物量檢測系統(tǒng)
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十二五”國家科技支撐計劃資助項目(2012BAH20B0203);公益性行業(yè)(農(nóng)業(yè))科研專項資助項目(201203026);北京市優(yōu)秀人才培養(yǎng)資助項目(2011D002020000008)


Detection System for Wheat Biomass Based on LabVIEW
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    摘要:

    為了快速、無損地測量小麥生物量,根據(jù)小麥莖稈的力學特性,設計了一種基于LabVIEW的小麥生物量檢測系統(tǒng),。以壓力傳感器為測量元件,,以阿爾泰DAM—3056AH為高速采集模塊,,獲取的小麥受推桿作用產(chǎn)生的回彈力信號由LabVIEW測量系統(tǒng)完成數(shù)據(jù)的實時采集,、顯示和保存,。利用該檢測系統(tǒng)在田間進行小麥生物量檢測試驗,,以驗證系統(tǒng)的性能,。試驗結果表明不同品種的小麥莖稈回彈力具有明顯的差異,小麥莖稈回彈力與生物量(鮮質(zhì)量)具有一定的相關性,,采用線性回歸法建立兩者之間的回歸模型,,模型的決定系數(shù)R2達到0.7127。結果表明基于力學原理進行小麥生物量檢測是可行的,。

    Abstract:

    In order to detect the wheat biomass non-destructively and fast, a system based on LabVIEW was developed according to the mechanical property of wheat stalk. Real-time acquisition, display and storage of the data was finished by detection system based on LabVIEW, with mechanical sensor as measuring element and collecting resilience signal produced when the stalk was pushed by the rod with high-speed acquisition module DAM—3056AH of ART-TECH. The detection system was tested in the wheat field to examine its property. The results showed that the resilience of the wheat stalks between different varieties were clearly different. The resilience of the wheat stalk had close relationship with biomass (fresh weight), of which the R2 was achieved 0.7127. It was indicated that the detection of wheat biomass based on mechanics was feasible.

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鄭玲,朱大洲,王成,潘大宇,羅斌,趙春江.基于LabVIEW的小麥生物量檢測系統(tǒng)[J].農(nóng)業(yè)機械學報,2013,44(9):214-218. Zheng Ling, Zhu Dazhou, Wang Cheng, Pan Dayu, Luo Bin, Zhao Chunjiang. Detection System for Wheat Biomass Based on LabVIEW[J]. Transactions of the Chinese Society for Agricultural Machinery,2013,44(9):214-218.

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  • 在線發(fā)布日期: 2013-09-11
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