利用几何形态测量学评估茶尺蠖危害茶叶严重度的可行性分析
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摘要
利用图像处理与分析技术获取茶树叶片的几何形态特征参数,并对不同类型的茶树叶片进行了比较与分析,探讨了此技术用于茶尺蠖危害严重度调查的可行性。结果表明,通过形态特征提取软件Bug Shape v1.0,可以自动获取到植物叶片的面积、周长、长轴长度、短轴长度等参数,这些参数可用于茶树叶片、海棠叶片和栀子花叶片的区分。不同类型茶树叶片(正常叶片、被害枝无损叶和虫损叶)的面积与长轴长度、短轴长度及其乘积存在显著的正相关关系,通过建立不同叶位的回归方程,可以对虫损叶被取食面积进行评估,且与人工实际评测结果无显著差异。研究还表明,在第3、5叶位上正常叶的叶面积显著大于被害枝无损叶。在茶尺蠖种群密度较低时,其取食茶树叶片具有明显的叶位选择偏好性,从强到弱的叶位顺序为3、4、2、5、1、6,而被取食面积大小在叶片中的分布也具有明显的规律,即被取食面积越小,所占叶片数量的比例越大。以上结果证明,利用几何形态测量技术可以较好地评估茶树虫损叶面积大小,明确茶叶被取食规律,评估茶尺蠖危害茶叶的严重度。
In this study,some geometric morphological measurements of tea leaves were obtained by image processing and analysis technology,and the difference between different types of leaves was calculated and analyzed,and at last the feasibility of the technology in evaluating leaf-damaged severity by tea geometrid(Lepidoptera: Geometridae) was discussed.The results showed that some parameters of plant leaves such as area,parimeters,long axis length,short axis length and so on were extracted by Bug Shape v1.0,and these parameters could be used to distinguish the leaves from Camellia sinensis,Malus halliana and Gardenia jasmindoes.There were significant positive correlations between area and long axis length,short axis length and their arithmetic product among different types of leaves such as normal leaf(NL),undamaged-leaf in damaged-branch(UL) and damaged-leaf(DL).Feeding-leaf area was evaluated by some re-gression equations established for different leaf positions,and the result was insignificantly different from the manual estimation.Furthermore,the leaf area of NL was significantly larger than that of UL in the third and fifth leaf positions.The pest had a preference to leaf positions(3 > 4 > 2 > 5 > 1 > 6) under lower population density,and the smaller the leaf area was damaged,the larger the proportion of the leaf number was.This study proved that the geometric morphological measurement technique could be used to evaluate the leaf-damaged area size,to determine the feeding regulatory,and to evaluate the leaf-damaged severity by tea geometrid.
In this study,some geometric morphological measurements of tea leaves were obtained by image processing and analysis technology,and the difference between different types of leaves was calculated and analyzed,and at last the feasibility of the technology in evaluating leaf-damaged severity by tea geometrid(Lepidoptera: Geometridae) was discussed.The results showed that some parameters of plant leaves such as area,parimeters,long axis length,short axis length and so on were extracted by Bug Shape v1.0,and these parameters could be used to distinguish the leaves from Camellia sinensis,Malus halliana and Gardenia jasmindoes.There were significant positive correlations between area and long axis length,short axis length and their arithmetic product among different types of leaves such as normal leaf(NL),undamaged-leaf in damaged-branch(UL) and damaged-leaf(DL).Feeding-leaf area was evaluated by some re-gression equations established for different leaf positions,and the result was insignificantly different from the manual estimation.Furthermore,the leaf area of NL was significantly larger than that of UL in the third and fifth leaf positions.The pest had a preference to leaf positions(3 > 4 > 2 > 5 > 1 > 6) under lower population density,and the smaller the leaf area was damaged,the larger the proportion of the leaf number was.This study proved that the geometric morphological measurement technique could be used to evaluate the leaf-damaged area size,to determine the feeding regulatory,and to evaluate the leaf-damaged severity by tea geometrid.
引文
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[11]杨劲峰,陈清,韩晓日,等.数字图像处理技术在蔬菜叶面积测量中的应用[J].农业工程学报,2002,18(4):155-158.
[12]刘时城,温仲明,戚德辉,等.基于面向对象特征提取的植物叶片面积测量方法[J].西北农林科技大学学报(自然科学版),2017,45(5):161-167.
[13]夏善志,祝旭加.林木叶面积研究方法综述[J].林业勘查设计,2009(2):71-72.
[14]李乐,钟迪,贾宝军,等.蒙古栎叶面积的数字图像法测定[J].西北林学院学报,2016,31(6):96-103.
[15]李淑娟,李团结,杨玉惠.基于像素法的Lotos亚属睡莲叶面积回归方程[J].陕西林业科技,2014(3):6-10.
[16]程鸿,吕军芬.CAD图形处理技术在植物叶面积测量中的应用[J].甘肃农业大学学报,2003,38(4):467-470.
[17]Neal M E O,Landis D A,Isaacs R.An inexpensive,accurate method for measuring leaf area and defoliation through digital image analysis[J].Journal of Economic Entomology,2002,95(6):1190-1194.
[18]卢美英,潘介春.枇杷叶面积测定方法的研究[J].福建果树,2003(1):1-3.
[19]潘鹏亮,张方梅,尹健,等.菊方翅网蝽雌雄成虫图像识别技术的初步研究[J].植物保护,2017,43(3):70-75.
[20]苏筱雨,蔡小娜,李阳,等.利用翅的数学形态特征对8种金龟子进行分类鉴定[J].中国农业大学学报,2016,21(7):61-66.
[21]李阳,沈佐锐,董学超,等.利用翅的数学形态特征对20种夜蛾进行分类鉴定的研究[J].中国农业大学学报,2016,21(9):80-89.
[22]潘鹏亮,沈佐锐,杨红珍,等.三种绢蝶翅脉数字化特征的提取及初步分析[J].动物分类学报,2008,33(3):566-571.
[23]谢敏,沈佐锐,施宗伟,等.3种菟丝子种子数学形态特征的初步研究[J].植物保护,2008,34(6):53-56.
[24]蔡小娜,黄大庄,沈佐锐,等.利用翅的数学形态特征对蛾类昆虫进行分类鉴定的系统研究Ⅰ——在总科级阶元上的应用[J].中国农业大学学报,2013,18(4):96-104.
[25]花慧贞,邹波,袁雄峰,等.八种鼠类头骨自动分科识别模型研究[J].农业技术与装备,2016(3):26-28.
[26]袁哲明,傅凌才.用扫描仪测定害虫食叶面积[J].湖南农业大学学报,1997,23(5):75-76.
[27]Rico-Garcia E,Hernandez-Hernandez F,Soto-Zarazua G M,et al.Two new methods for the estimation of leaf area using digital photography[J].International Journal of Agriculture&Biology,2009,11(4):397-400.
[28]郭萧,王晓庆,彭萍,等.茶树不同成熟度叶片对茶尺蠖发育适合度的影响[J].茶叶科学,2012,32(3):229-235.
[29]雷舒,李喜旺,孙晓玲,等.茶尺蠖为害提高邻近茶苗对茶尺蠖幼虫的防御能力[J].茶叶科学,2016,36(6):587-593.
[2]殷坤山,熊兴平,唐美君,等.有效积温法预测茶尺蠖防治适期的研究[J].昆虫知识,1995,32(6):336-339.
[3]高旭晖,宛晓春,杨云秋,等.茶尺蠖生物学习性研究[J].植物保护,2007,33(3):110-113.
[4]宋佃远,胡涛,郑发科.茄二十八星瓢虫成虫取食量的研究[J].安徽农业科学,2007,35(1):147-184.
[5]钟取发,周平,付斌斌,等.基于典型叶片模板自动匹配的虫损叶面积测量[J].农业工程学报,2010,26(3):216-221.
[6]Chaudhary P,Godara S,Cheeran A N,et al.Fast and accurate method for leaf area measurement[J].International Journal of Computer Applications,2012,49(9):22-25.
[7]陶洪斌,林杉.打孔称重法与复印称重法和长宽校正法测定水稻叶面积的方法比较[J].植物生理学通讯,2006,42(3):496-498.
[8]宋英博,郭伟,张洪权,等.图像处理技术在玉米叶面积测量中的实际应用[J].农学学报,2015,5(8):111-114.
[9]王颖,杨重法,奚浩然,等.厚皮甜瓜叶面积测定方法的研究[J].中国瓜菜,2016,29(5):25-28.
[10]胡小三,朱雪志.关于测定柑桔叶面积方法的探讨[J].北方园艺,2009(3):96-98.
[11]杨劲峰,陈清,韩晓日,等.数字图像处理技术在蔬菜叶面积测量中的应用[J].农业工程学报,2002,18(4):155-158.
[12]刘时城,温仲明,戚德辉,等.基于面向对象特征提取的植物叶片面积测量方法[J].西北农林科技大学学报(自然科学版),2017,45(5):161-167.
[13]夏善志,祝旭加.林木叶面积研究方法综述[J].林业勘查设计,2009(2):71-72.
[14]李乐,钟迪,贾宝军,等.蒙古栎叶面积的数字图像法测定[J].西北林学院学报,2016,31(6):96-103.
[15]李淑娟,李团结,杨玉惠.基于像素法的Lotos亚属睡莲叶面积回归方程[J].陕西林业科技,2014(3):6-10.
[16]程鸿,吕军芬.CAD图形处理技术在植物叶面积测量中的应用[J].甘肃农业大学学报,2003,38(4):467-470.
[17]Neal M E O,Landis D A,Isaacs R.An inexpensive,accurate method for measuring leaf area and defoliation through digital image analysis[J].Journal of Economic Entomology,2002,95(6):1190-1194.
[18]卢美英,潘介春.枇杷叶面积测定方法的研究[J].福建果树,2003(1):1-3.
[19]潘鹏亮,张方梅,尹健,等.菊方翅网蝽雌雄成虫图像识别技术的初步研究[J].植物保护,2017,43(3):70-75.
[20]苏筱雨,蔡小娜,李阳,等.利用翅的数学形态特征对8种金龟子进行分类鉴定[J].中国农业大学学报,2016,21(7):61-66.
[21]李阳,沈佐锐,董学超,等.利用翅的数学形态特征对20种夜蛾进行分类鉴定的研究[J].中国农业大学学报,2016,21(9):80-89.
[22]潘鹏亮,沈佐锐,杨红珍,等.三种绢蝶翅脉数字化特征的提取及初步分析[J].动物分类学报,2008,33(3):566-571.
[23]谢敏,沈佐锐,施宗伟,等.3种菟丝子种子数学形态特征的初步研究[J].植物保护,2008,34(6):53-56.
[24]蔡小娜,黄大庄,沈佐锐,等.利用翅的数学形态特征对蛾类昆虫进行分类鉴定的系统研究Ⅰ——在总科级阶元上的应用[J].中国农业大学学报,2013,18(4):96-104.
[25]花慧贞,邹波,袁雄峰,等.八种鼠类头骨自动分科识别模型研究[J].农业技术与装备,2016(3):26-28.
[26]袁哲明,傅凌才.用扫描仪测定害虫食叶面积[J].湖南农业大学学报,1997,23(5):75-76.
[27]Rico-Garcia E,Hernandez-Hernandez F,Soto-Zarazua G M,et al.Two new methods for the estimation of leaf area using digital photography[J].International Journal of Agriculture&Biology,2009,11(4):397-400.
[28]郭萧,王晓庆,彭萍,等.茶树不同成熟度叶片对茶尺蠖发育适合度的影响[J].茶叶科学,2012,32(3):229-235.
[29]雷舒,李喜旺,孙晓玲,等.茶尺蠖为害提高邻近茶苗对茶尺蠖幼虫的防御能力[J].茶叶科学,2016,36(6):587-593.