基于有效积温的玉米冠层图像特征参数分析
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(宁夏大学农学院,宁夏 银川 750021)

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贾彪(1979-),男,甘肃镇原人,副教授,博士,主要从事农业信息技术与精准农业研究。E-mail:jiabiaO2008@163.com。

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基金项目:国家自然科学基金项目(31560339);宁夏高等学校科研项目(NGY2017025);宁夏科技重大专项(2018BBF0200404);宁夏重点研发计划项目(2018BBF02018);国家科技支撑计划项目


Analysis of characteristic parameters of maize canopy image based on effective accumulated temperature
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(School ofAgriculture,NingxiaUniversity,Yinchuan Ningxia750021)

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    摘要:

    为揭示滴灌水肥一体化玉米冠层图像颜色特征参数随有效积温的动态变化规律,明确有效积温对玉米冠层图像三基色 RGB的动态变化影响机理,比较图像特征参数的拟合精度。以宁夏主栽品种天赐 19为试验材料,于 2018年在宁夏平吉堡农场开展 6个不同氮素处理的小区试验,利用防抖手持云台搭载手机相机遥控获取玉米冠层垂直地面图像,提取图像色彩特征参数,以有效积温为自变量,对玉米冠层数字图像特征参数进行拟合分析并比较,并分析图像参数与叶片氮浓度的相关性。结果表明:有效积温与红光值(R)符合有理函数关系,与绿光值(G)和蓝光值(B)符合对数函数关系,通过比较可以看出,各图像特征参数中 R拟合效果最好,B和 G次之,均达到显著水平,图像参数与叶片氮浓度十叶期的相关系数高于六叶期。因此,数字图像参数 R的拟合效果最好,可作为宁夏滴灌玉米图像监测指标和群体结构分析的参考依据,十叶期可作为该地区滴灌玉米氮素营养诊断的关键生育时期。

    Abstract:

    In order to reveal the dynamic variation of color characteristic parameters of drip irrigation water and fertilizerintegrated maize canopy image with effective accumulated temperature,the influence mechanism of effective accumulatedtemperature on dynamic changes of RGB in maize canopy image wasdetermined,and the fitting precision of image featureparameters was compared.Taking the Ningxia main plant TC19 as the experimental material,six different nitrogen -treated plot experiments were carried out at Pingjibao Farm in Ningxia in2018.The anti -shake handheld gimbal wasequipped with a mobile phone camera to remotely obtain the vertical canopy image of the maize canopy and extractimages.The color characteristic parameters,with the effective accumulated temperature as the independent variable,were fittedand compared with the characteristic parameters of the maize canopy digital image,and the correlation between the imageparameters and the leaf nitrogen concentration were analyzed.The results show that the effective accumulated temperatureand red value(R)are in accordance with the rational functionrelationship,and the green light value(G)and blue lightvalue(B)are in logarithmic function relationship.It can be seen from the comparison that R fits in each image featureparameter and has the besteffect,B and G aresecond,and all of them reach a significantlevel.The correlation coefficientbetween most image parameters and leaf nitrogen concentration in the tenth leaf stage is higher than that in the sixth leaf stage.Therefore,the fitting effect of digital image parameter R is thebest,which can be used as the reference for the monitoringindex and population structure analysis of Ningxia drip irrigationmaize.The tenth leaf stage could be used as the key growth period for the nitrogen nutrition diagnosis of drip irrigation maize in this area.

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贾彪,贺正 .基于有效积温的玉米冠层图像特征参数分析[J].中国土壤与肥料,2020,(2):159-165.

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  • 收稿日期:2019-04-30
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  • 录用日期:2019-06-06
  • 在线发布日期: 2020-05-07