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

Wang, X and Moran, W 2016, 'Taking the pulse of a plant: Dynamic laser speckle analysis of plants', Hongwai yu Jiguang Gongcheng/Infrared and Laser Engineering, vol. 45, no. 9, 0902002, pp. 302001-1-302001-11.

Document type: Journal Article
Collection: Journal Articles

Title Taking the pulse of a plant: Dynamic laser speckle analysis of plants
Author(s) Wang, X
Moran, W
Year 2016
Journal name Hongwai yu Jiguang Gongcheng/Infrared and Laser Engineering
Volume number 45
Issue number 9
Article Number 0902002
Start page 302001-1
End page 302001-11
Publisher Zhongguo Hangtian Ke-Gong Jituan Gonsi Di-3 Yanjiuyuan Di-8358 Yanjiusuo
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.
Subject Applied Statistics
Lasers and Quantum Electronics
Signal Processing
Keyword(s) Dynamic laser speckle analysis
Leaf activity detection
Local normal vector
Plant water status
DOI - identifier 10.3788/IRLA201645.0902002
Copyright notice © 2016, Editorial Board of Journal of Infrared and Laser Engineering.
ISSN 1007-2276
Version Filter Type
Citation counts: Scopus Citation Count Cited 0 times in Scopus Article
Altmetric details:
Access Statistics: 148 Abstract Views  -  Detailed Statistics
Created: Wed, 29 Mar 2017, 10:24:00 EST by Catalyst Administrator
© 2014 RMIT Research Repository • Powered by Fez SoftwareContact us