北京理加联合科技有限公司

LICA United Technology Limited

服务热线: 010-51292601
企业邮箱
应用支持 Application Support
News 应用支持

应用ASD高光谱遥感技术监测由丝核菌引起的甜菜根腐病和冠腐病

日期: 2015-08-11
浏览次数: 43

HYPERSPECTRAL REMOTE SENSING FOR DETECTION OF RHIZOCTONIA CROWN AND ROOT ROT IN SUGARBEET

Gregory J. Reynolds1, Carol E. Windels2, Ian V. MacRae3, and Soizik Laguette4
Graduate Student, Professor, Associate Professor, and Assistant Professor, respectively
1University of Minnesota, Department of Plant Pathology, St. Paul
2University of Minnesota, Department of Plant Pathology and Northwest Research & Outreach Center, Crookston
3University of Minnesota, Department of Entomology and Northwest Research & Outreach Center, Crookston
4University of North Dakota, Department of Earth System Science and Policy, Grand Forks
 
The soilborne fungus Rhizoctonia solani AG-2-2 causes Rhizoctonia crown and root rot (RCRR) of sugarbeet. The pathogen is becoming common and widespread in sugarbeet-growing regions of Minnesota and North Dakota because of increased acreage of soybean, edible bean and corn, which are also infected by R. solani AG-2-2 (5, 23). Thus, inoculum of the fungus is building up in soil and contributing to further outbreaks.
Severity of RCRR typically is assessed by a visual rating scale based on the amount of rot on the taproot. This traditional visual rating system, however, is destructive because entire plants are removed from soil. Furthermore, visual disease assessments are subjective in nature and affected by differences between individuals rating roots caused by fatigue, bias, and human error (13).
Remote sensing is an alternative method to non-destructively assess plant diseases rapidly, repeatedly, and over a large area without physical contact with the sampling unit (e.g., sugarbeet foliage) (13). It is based on measuring reflectance of electromagnetic radiation from a subject of interest, primarily in the visible (390-770 nm), near infrared (770-1300 nm), mid infrared (1300-2500 nm), and thermal infrared (2.5-15 μm) ranges (13). Instruments may collect either hyperspectral or multispectral reflectance data. Hyperspectral sensors measure reflectance contiguously as a series of narrow wavelength bands while multispectral sensors measure reflectance at a few wide bands separated by segments where no measurements are taken (17). Hyperspectral and multispectral wavelength bands obtained for plants typically are used to calculated vegetation indices that provide pertinent information (e.g., chlorophyll content) or to correct for background interference from soil or the atmosphere (21).
Remote sensing technology has been applied to the detection of numerous crop diseases, including Cercospora leaf spot (19) and Rhizomania (20) of sugarbeet. Aboveground symptoms of RCRR, including yellowing of foliage and sudden wilting of leaves, would be the basis for remote detection of this disease, but it also may be possible to detect stress in the plants before visible wilting occurs. Reduced photosynthesis rates or water content in sugarbeet plants could produce changes detectable with remote sensing instrumentation, but not the naked eye. Laudien et al. (10, 11) conducted research to determine the potential of remote sensing to detect RCRR, but the authors focused more on the distinction between healthy and unhealthy plants, rather than on the disease. They detected RCRR at the end of the growing season but did not address population of AG 2-2 (IIIB or IV), early-season detection of the disease, or the relationship of reflectance to severity of RCRR. Early detection of RCRR and/or the ability to assess disease severity based on remote sensing will allow assessment of entire fields for disease management.
应用ASD高光谱遥感技术监测由丝核菌引起的甜菜根腐病和冠腐病
Examples of spectral signatures for soil background reflectance and sugarbeet canopy reflectance in plots with Rhizoctonia crown and root rot disease ratings of 1.1, 4.3, and 7 for the partially resistant variety (data collected August 18, 2008) where A.) is green reflectance (495-570 nm), B.) is red reflectance (620-750 nm), C.) is near infrared reflectance (770-1300 nm), and D.) is mid infrared reflectance (1300-2500 nm).
 
查看原文:
HyperspectralRemote..pdf
应用ASD高光谱遥感技术监测由丝核菌引起的甜菜根腐病和冠腐病6a4593eedb0b69782647455cc2289126.pdf (167.60 KB)


News / 相关新闻 More
2022 - 01 - 24
改进积雪密度的估计是目前雪研究的一个关键问题。表征密度时空变异性对于水当量的估算、水力发电和自然灾害(雪崩洪水等)的评估至关重要。高光谱成像是一种监测和估计其物理特性的有前途且可靠的工具。事实上,雪的光谱反射率在一定程度上受其物理特性变化的控制,尤其是在光谱的近红外(NIR)部分。为此,已经设计了几种模型根据光谱信息估算积雪密度。然而,还没有一个实现满意的结果。主要困难之一是积雪密度和光谱反射率之间的关系是非双射的(满射的)。事实上,几个反射振幅与相同的密度相关,反之亦然,所以密度和光谱反射率之间的相关性可能非常弱。基于此,为了解决该问题,本研究中提出了基于光谱数据的积雪密度估计混合模型。主要研究目标是利用高光谱NIR成像(PIKA NIR,RESONON Company)(900-1700 nm)以5.5 nm的光谱分辨率测试混合模型(HM)估计季节性积雪密度的性能。混合模型结合了一个分...
2022 - 01 - 20
PROSDM:PROSPECT模型与光谱导数和相似性度量相结合从双向反射率中提取叶片生化性状的适用性叶片生化性状为理解植物光合功能、动态生长、养分循环和初级生产提供了有价值的信息。叶片叶绿素含量(Cab)、类胡萝卜素含量(Cxc)、含水量(Cw)和干物质含量(Cm)是四个重要的叶片生化性状,与植物光合作用、氮素、胁迫和衰老等健康和生长状态密切相关。能够对这些叶片生化性状进行高通量测量的方法对于表征植物生理状态和关键功能过程至关重要。PROSPECT模型是目前最常用的叶片辐射传输模型之一,可从叶片定向半球反射因子(DHRF)光谱来提取叶片生化性状,然而,在应用于叶片双向反射因子(BRF)光谱提取叶片生化性状方面尚待探索。叶片表面反射率和各向异性性状的存在可能是限制PROSPECT从叶片BRF光谱评估叶片生化性状的主要问题。基于此,在本研究中,研究者们提出了一个方法,整合了PROSPECT模型...
2022 - 01 - 18
生态系统呼吸(Re)和甲烷(CH4)通量是两个重要的土壤-大气碳交换过程,已经在局地尺度上得到充分记录。然而,在流域尺度上,对青藏高原多年冻土区这些过程的空间格局和控制因素尚不清楚。基于此,为了填补研究空白,在本研究中,来自四川大学、中国科学院成都山地灾害与环境研究所、山西农业大学、中国科学院西北生态环境资源研究院和西南民族大学青藏高原研究所的研究团队在青藏高原风火山(34°40′-34°46′ N和92°50′–92°62′ E;4580-5410 m a.s.l.;图1a)测量了两个生长季节(2017年和2018年)不同坡向(北向(阴坡)和南向(阳坡))和不同海拔(低、中和高坡位)的生态系统呼吸(Re)和CH4通量,旨在阐明青藏高原草地流域尺度的Re和CH4通量模式并量化生物和非生物因子调节Re和CH4通量的相对贡献。作者利用LGR UGGA便携...
2021 - 01 - 15
全球气候变化引起的预计人口增长以及土地和农业资源可利用性的压力使未来几十年全球粮食供应的需求增加。提高光合作用能力已成为实现作物增产的目标。目前,测量光合作用的方法是耗时的且具破坏性的,这会减慢鉴定具高光合能力的农作物种质的研究和育种工作。作者在1分钟内收集样地(~2 m×2 m)向阳叶片像素的高光谱反射率以量化光合作用参数和色素含量。在两个生长季节(2017年和2018年)利用田间生长的经基因改变了光合途径的烟草,建立了8个光合参数和色素性状的预测模型。利用偏最小二乘法(PLSR)分析可见近红外(400-900 nm)光谱相机测得的植物反射像素,预测了Rubisco最大羧化速率(Vc,max,R2=0.79)和最大电子传递速率(J1800,R2=0.59),最大光饱和光合作用(Pmax,R2=0.54),叶绿素含量(R2=0.87),叶绿素a/b(...
关闭窗口】【打印
Copyright ©2018-2023 北京理加联合科技有限公司
犀牛云提供企业云服务

北京理加联合科技有限公司

地址:北京市海淀区安宁庄东路18号光华创业园5号楼(生产研发)
          光华创业园科研楼四层
电话:010-51292601
传真:010-82899770-8014
邮箱:info@li-ca.com
邮编:100085

深圳办事处:

地址:深圳市宝安区创业二路玖悦雅轩商业裙楼3层瑞思BEEPLUS 3029室 手机:13910499772

武汉办事处:

地址:武汉市洪山区民族大道124号龙安港汇城A座1108 手机:13910499761


  • 您的姓名:
  • *
  • 公司名称:
  • *
  • 地址:
  • *
  • 电话:
  • *
  • 传真:
  • *
  • 电子邮箱:
  • *
  • 邮政编码:
  • *
  • 留言主题:
  • *
  • 详细说明:
  • *
在线留言
关注我们
  • 官方微信
  • 官方手机端
友情链接:
X
1

QQ设置

3

SKYPE 设置

4

阿里旺旺设置

等待加载动态数据...

等待加载动态数据...

5

电话号码管理

  • 010-51292601
6

二维码管理

等待加载动态数据...

等待加载动态数据...

展开