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Taking the pulse of a plant: dynamic laser speckle analysis of plants

Zhong Xu,  Wang Xuezhi,  Cooley Nicola,  Farrell Peter,  Moran Bill

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文章导航 > 红外与激光工程  > 2016 >  45(9): 902002-0902002(12)
Zhong Xu, Wang Xuezhi, Cooley Nicola, Farrell Peter, Moran Bill. Taking the pulse of a plant: dynamic laser speckle analysis of plants[J]. 红外与激光工程, 2016, 45(9): 902002-0902002(12). doi: 10.3788/IRLA201645.0902002
引用本文: Zhong Xu, Wang Xuezhi, Cooley Nicola, Farrell Peter, Moran Bill. Taking the pulse of a plant: dynamic laser speckle analysis of plants[J]. 红外与激光工程, 2016, 45(9): 902002-0902002(12). doi: 10.3788/IRLA201645.0902002
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Zhong Xu, Wang Xuezhi, Cooley Nicola, Farrell Peter, Moran Bill. Taking the pulse of a plant: dynamic laser speckle analysis of plants[J]. Infrared and Laser Engineering, 2016, 45(9): 902002-0902002(12). doi: 10.3788/IRLA201645.0902002
Citation: Zhong Xu, Wang Xuezhi, Cooley Nicola, Farrell Peter, Moran Bill. Taking the pulse of a plant: dynamic laser speckle analysis of plants[J]. Infrared and Laser Engineering, 2016, 45(9): 902002-0902002(12). doi: 10.3788/IRLA201645.0902002
shu

Taking the pulse of a plant: dynamic laser speckle analysis of plants

doi: 10.3788/IRLA201645.0902002
  • 1.

    Department of Infrastructure Engineering,University of Melbourne,VIC 3010,Australia;

  • 2.

    School of Electrical and Computer Engineering,Royal Melbourne Institute Technology,VIC 3000,Australia;

  • 3.

    Higher Education-Primary Industy,NMIT and Melbourne Polytechnic,NMIT Epping Campus,Victoria 3076,Australia;

  • 4.

    Department of Electrical and Electronic Engineering,University of Melbourne,VIC 3010,Australia

详细信息
    作者简介:

    Zhong Xu (1987-),male,PhD.His research interests lie in the area of laser speckle analysis,plant sensing,and geographic information science.Email:peter.zhong49@gmail.com

  • 中图分类号: TP273

Taking the pulse of a plant: dynamic laser speckle analysis of plants

  • 1.

    Department of Infrastructure Engineering,University of Melbourne,VIC 3010,Australia;

  • 2.

    School of Electrical and Computer Engineering,Royal Melbourne Institute Technology,VIC 3000,Australia;

  • 3.

    Higher Education-Primary Industy,NMIT and Melbourne Polytechnic,NMIT Epping Campus,Victoria 3076,Australia;

  • 4.

    Department of Electrical and Electronic Engineering,University of Melbourne,VIC 3010,Australia

More Information
    Author Bio:

    Zhong Xu (1987-),male,PhD.His research interests lie in the area of laser speckle analysis,plant sensing,and geographic information science.Email:peter.zhong49@gmail.com

  • 摘要: Ideally, to achieve optimal production in agriculture, crop stress needs to be measured in real-time, and plant inputs managed in response. However, many important physiological responses like photosynthesis are difficult to measure, and current trade-offs between cost, robustness, and spatial measurement capacity of available plant sensors may prevent practical in-field application of most current sensing techniques. This paper investigates a novel application of laser speckle imaging of a plant leaf as a sensor with an aim, ultimately, to detect indicators of crop stress:changes to the dynamic properties of leaf topography on the scale of the wavelength of laser light. In our previous published work, an initial prototype of the laser speckle acquisition system specific for plant status measurements together with data processing algorithms were developed. In this paper, we report a new area based statistical method that improves robustness of the data processing against disturbances from various sources. Water and light responses of the laser speckle measurements from cabbage leaves taken by the developed apparatus are exhibited via growth chamber experiments. Experimental evidence indicates that the properties of the laser speckle patterns from a leaf are closely related to the physiological status of the leaf. This technology has the potential to be robust, cost effective, and relatively inexpensive to scale.
    Abstract: Ideally, to achieve optimal production in agriculture, crop stress needs to be measured in real-time, and plant inputs managed in response. However, many important physiological responses like photosynthesis are difficult to measure, and current trade-offs between cost, robustness, and spatial measurement capacity of available plant sensors may prevent practical in-field application of most current sensing techniques. This paper investigates a novel application of laser speckle imaging of a plant leaf as a sensor with an aim, ultimately, to detect indicators of crop stress:changes to the dynamic properties of leaf topography on the scale of the wavelength of laser light. In our previous published work, an initial prototype of the laser speckle acquisition system specific for plant status measurements together with data processing algorithms were developed. In this paper, we report a new area based statistical method that improves robustness of the data processing against disturbances from various sources. Water and light responses of the laser speckle measurements from cabbage leaves taken by the developed apparatus are exhibited via growth chamber experiments. Experimental evidence indicates that the properties of the laser speckle patterns from a leaf are closely related to the physiological status of the leaf. This technology has the potential to be robust, cost effective, and relatively inexpensive to scale.
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  • 收稿日期:  2016-06-05
  • 修回日期:  2016-07-03
  • 刊出日期:  2016-09-25

Taking the pulse of a plant: dynamic laser speckle analysis of plants

doi: 10.3788/IRLA201645.0902002
  • 1. Department of Infrastructure Engineering,University of Melbourne,VIC 3010,Australia;
  • 2. School of Electrical and Computer Engineering,Royal Melbourne Institute Technology,VIC 3000,Australia;
  • 3. Higher Education-Primary Industy,NMIT and Melbourne Polytechnic,NMIT Epping Campus,Victoria 3076,Australia;
  • 4. Department of Electrical and Electronic Engineering,University of Melbourne,VIC 3010,Australia
    • 作者简介:

    Zhong Xu (1987-),male,PhD.His research interests lie in the area of laser speckle analysis,plant sensing,and geographic information science.Email:peter.zhong49@gmail.com

  • 收稿日期: 2016-06-05
  • 修回日期: 2016-07-03
  • 刊出日期: 2016-09-25

  • 中图分类号: TP273

摘要: Ideally, to achieve optimal production in agriculture, crop stress needs to be measured in real-time, and plant inputs managed in response. However, many important physiological responses like photosynthesis are difficult to measure, and current trade-offs between cost, robustness, and spatial measurement capacity of available plant sensors may prevent practical in-field application of most current sensing techniques. This paper investigates a novel application of laser speckle imaging of a plant leaf as a sensor with an aim, ultimately, to detect indicators of crop stress:changes to the dynamic properties of leaf topography on the scale of the wavelength of laser light. In our previous published work, an initial prototype of the laser speckle acquisition system specific for plant status measurements together with data processing algorithms were developed. In this paper, we report a new area based statistical method that improves robustness of the data processing against disturbances from various sources. Water and light responses of the laser speckle measurements from cabbage leaves taken by the developed apparatus are exhibited via growth chamber experiments. Experimental evidence indicates that the properties of the laser speckle patterns from a leaf are closely related to the physiological status of the leaf. This technology has the potential to be robust, cost effective, and relatively inexpensive to scale.

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