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基于4波段作物光譜測量儀的小麥分蘗數(shù)預(yù)測
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國家自然科學(xué)基金項目(31501219)、公益性行業(yè)(農(nóng)業(yè))科研專項(201303109)和國家留學(xué)基金委公派研究生項目(201406350177)


Prediction of Winter Wheat Tiller Number Based on 4waveband Crop Monitor with Spectral Reflectance
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    摘要:

    使用4波段(550nm、650nm、766nm和850nm)便攜式作物反射光譜測量儀對泰農(nóng)18型冬小麥分蘗狀態(tài)進(jìn)行自動監(jiān)測與建模,通過分析植被指數(shù)與分蘗數(shù)的相關(guān)關(guān)系實現(xiàn)了對分蘗數(shù)的建模預(yù)測。首先利用儀器獲得小麥冠層在4個波段的反射信號,計算對應(yīng)波段的作物冠層反射率,經(jīng)校正后計算得到OSAVI、MSAVI、SAVI、EVI2、TVI、NDGI、NDVI、RVI和DVI 9種多波段組合的植被指數(shù)。然后分析以上9種植被指數(shù)與小麥分蘗數(shù)之間的相關(guān)關(guān)系,確定了可用于該類型小麥分蘗狀態(tài)監(jiān)測和評價的植被指數(shù)類型。2013—2014年在山東省淄博市和桓臺縣開展了田間試驗,計算了不同氮素水平下泰農(nóng)18型小麥返青期和起身期分蘗數(shù)以及其兩個生育期分蘗數(shù)與9種植被指數(shù)之間的相關(guān)系數(shù),OSAVI(650,850)指數(shù)與返青期莖蘗數(shù)相關(guān)系數(shù)最高,決定系數(shù)最高為0.85,均方根誤差為118.93;EVI2(650,850)指數(shù)與起身期莖蘗數(shù)相關(guān)系數(shù)最高,決定系數(shù)最高為0.84,均方根誤差為73.04;以上試驗結(jié)果表明,在冬小麥返青期和起身期利用OSAVI(650,850)和EVI2(650,850)兩種植被指數(shù)可以快速預(yù)測小麥分蘗狀態(tài),可為田間精細(xì)管理提供科學(xué)依據(jù)。

    Abstract:

    The number of tillers has a significant effect on the winter wheat field management and the prediction of winter wheat yield. However,the traditional manual counting method of the tiller counting is inefficient. With the development of spectral technology and the application of low altitude remote sensing technology in agriculture, a method was provided for monitoring the number of tillers and growth of the winter wheat by calculating crop canopy reflectance and vegetation index. A 4waveband crop monitor with spectral reflectance was used to carry on the experiment (Tainong 18). The instrument can obtain the crop canopy reflecting signals at 550nm, 650nm, 766nm and 850nm simultaneously. After that the crop canopy reflectance was first calculated and then nine vegetation indexes: OSAVI, MSAVI, SAVI, EVI2, TVI, NDGI,NDVI, RVI and DVI, were also calculated. The relationship between the tillering of winter wheat and each index of nine vegetation indexes was analyzed in both regreening and erecting stages. In regreening stage, the correlation between OSAVI(650,850)and tillers was the highest (R2 is 0.85, RMSE is 11893), while in erecting stage, the correlation between EVI2(650,850)and tillers was the highest (R2 is 0.84, RMSE is 73.04). The results of the test showed that there was a significant relationship between the winter wheat tillers and the two vegetation indexes. This may help the development of the instrument for winter wheat tillers counting based on canopy spectral reflection. The conclusions can be used in rapid predicting of wheat tillering and giving suggestions to field precision management.

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張猛,孫紅,李民贊,Zhang Qin,鄭立華.基于4波段作物光譜測量儀的小麥分蘗數(shù)預(yù)測[J].農(nóng)業(yè)機(jī)械學(xué)報,2016,47(9):341-347. Zhang Meng, Sun Hong, Li Minzan, Zhang Qin, Zheng Lihua. Prediction of Winter Wheat Tiller Number Based on 4waveband Crop Monitor with Spectral Reflectance[J]. Transactions of the Chinese Society for Agricultural Machinery,2016,47(9):341-347.

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  • 收稿日期:2016-02-29
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  • 在線發(fā)布日期: 2016-09-10
  • 出版日期: 2016-09-10