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椰糠基質(zhì)有效氮近紅外檢測(cè)儀設(shè)計(jì)與試驗(yàn)
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兵團(tuán)科技攻關(guān)項(xiàng)目(2019DB001)和廣東省鄉(xiāng)村振興戰(zhàn)略專項(xiàng)(粵財(cái)農(nóng)[2018]143)


Design and Test of Near Infrared Detecting Instrument for Available Nitrogen in Coco-peat Substrate
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    摘要:

    為了實(shí)現(xiàn)椰糠基質(zhì)有效氮含量的快速實(shí)時(shí)檢測(cè),,基于漫反射光譜設(shè)計(jì)了椰糠基質(zhì)有效氮近紅外檢測(cè)儀。該檢測(cè)儀的硬件系統(tǒng)主要由前處理裝置,、氣力輸送裝置,、重力式沉降樣品室、近紅外光譜檢測(cè)裝置,、樣品回收裝置和空氣壓縮機(jī)等組成,。制備了不同有效氮含量的椰糠基質(zhì)樣本135個(gè),采用研制的檢測(cè)儀獲取了樣本原始光譜數(shù)據(jù),,并建立了椰糠基質(zhì)有效氮含量的最優(yōu)偏最小二乘回歸預(yù)測(cè)模型,其校正集相關(guān)系數(shù)和驗(yàn)證集相關(guān)系數(shù)分別為0.973和0.965,,校正集均方根誤差和驗(yàn)證集均方根誤差分別為14.025mg/(100g)和15.757mg/(100g),,殘差預(yù)測(cè)偏差為3.72?;贛FC開發(fā)工具,,采用C/C++語言開發(fā)了檢測(cè)儀硬件控制及實(shí)時(shí)檢測(cè)分析軟件界面,將建立的最優(yōu)有效氮光譜預(yù)測(cè)模型移植到軟件程序中,,實(shí)現(xiàn)了椰糠基質(zhì)有效氮近紅外檢測(cè)儀功能硬件控制及有效氮檢測(cè)的一鍵式操作,。試驗(yàn)驗(yàn)證結(jié)果表明,所研制儀器預(yù)測(cè)值與國(guó)標(biāo)測(cè)量值相關(guān)系數(shù)為0.883,,測(cè)試集均方根誤差為18.605mg/(100g),。該檢測(cè)儀實(shí)現(xiàn)了椰糠基質(zhì)有效氮含量的快速實(shí)時(shí)檢測(cè),并且預(yù)測(cè)性能較好,,可以滿足快速評(píng)價(jià)椰糠基質(zhì)養(yǎng)分的實(shí)際需求,。

    Abstract:

    In order to realize rapid and real-time detection of available nitrogen in coco-peat substrate, a detecting instrument based on near infrared (NIR) diffuse reflectance spectroscopy was designed. The hardware system of this instrument mainly consisted of pretreatment device, pneumatic conveyor, gravity settling sample chamber, near infrared spectrum detection device, sample recovery device and air compressor. Totally 135 samples of coco-peat substrate with different available nitrogen contents were prepared. Original spectral data of these samples were obtained by the hardware system of the developed instrument. An optimal partial least squares regression model for predicting available nitrogen content of coco-peat substrate was established. The corresponding correlation coefficients of correction set and validation set were 0.973 and 0.965, respectively;the root mean square errors of correction set and validation set were 14.025mg/(100g) and 15.757mg/(100g), respectively;and the residual prediction deviation was 3.72. Based on the MFC development tool, the software interface of hardware control and realtime detection and analysis of the instrument was developed in C/C++ language. The optimal coco-peat substrate available nitrogen prediction model established was built into the software, and the functional hardware control and available nitrogen NIR spectroscopy detection was realized by one-button operation. The test results showed that the correlation coefficient between the predicted value of the developed instrument and the measured value of national standard was 0.883, and the root mean square error was 18.605mg/(100g). The instrument can realize the rapid and realtime detection of available nitrogen in coco-peat substrate, and the prediction performance was good, which can meet the actual needs of rapid evaluation of coco-peat substrate fertilizer.

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魯兵,王旭峰,何珂,胡燦,高薪,湯修映.椰糠基質(zhì)有效氮近紅外檢測(cè)儀設(shè)計(jì)與試驗(yàn)[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2022,53(5):316-324. LU Bing, WANG Xufeng, HE Ke, HU Can, GAO Xin, TANG Xiuying. Design and Test of Near Infrared Detecting Instrument for Available Nitrogen in Coco-peat Substrate[J]. Transactions of the Chinese Society for Agricultural Machinery,2022,53(5):316-324.

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  • 收稿日期:2021-06-21
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  • 在線發(fā)布日期: 2022-05-10
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