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Reseach Article

Tracking of Plant Water Stress Via an Automated Optical and IR Image Registration

Published on September 2018 by Megha B. Halasangimath, Nikita B. Halasangimath
National Conference on Computer Science and Information Technology
Foundation of Computer Science USA
NCCSIT2017 - Number 1
September 2018
Authors: Megha B. Halasangimath, Nikita B. Halasangimath
dbbbd2ee-05c2-440b-8663-c099a472b92e

Megha B. Halasangimath, Nikita B. Halasangimath . Tracking of Plant Water Stress Via an Automated Optical and IR Image Registration. National Conference on Computer Science and Information Technology. NCCSIT2017, 1 (September 2018), 1-7.

@article{
author = { Megha B. Halasangimath, Nikita B. Halasangimath },
title = { Tracking of Plant Water Stress Via an Automated Optical and IR Image Registration },
journal = { National Conference on Computer Science and Information Technology },
issue_date = { September 2018 },
volume = { NCCSIT2017 },
number = { 1 },
month = { September },
year = { 2018 },
issn = 0975-8887,
pages = { 1-7 },
numpages = 7,
url = { /proceedings/nccsit2017/number1/29980-7002/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Computer Science and Information Technology
%A Megha B. Halasangimath
%A Nikita B. Halasangimath
%T Tracking of Plant Water Stress Via an Automated Optical and IR Image Registration
%J National Conference on Computer Science and Information Technology
%@ 0975-8887
%V NCCSIT2017
%N 1
%P 1-7
%D 2018
%I International Journal of Computer Applications
Abstract

Analysis of canopy temperature is significant method for monitoring the plant water status. Increase in leaf temperature detected by infrared thermography largely reflect stomatal closure as a measure of "stress". Hence this can be used as a meter for irrigation scheduling. The proposed system's key phase is where the optical image and its related infrared image are automatically registered which resolves problem of quantifying the data of the scene. From the plant canopy an optical image is captured and is registered with its corresponding IR image. The work here involves applying the Canny Edge Detection algorithm and variable resolution based on normalized cross correlation algorithm for improved image registration process while maintaining biological significance. The outcomes of the study exhibit the efficiency and reliability of the proposed system with a substantial reduction of computational complexity.

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Index Terms

Computer Science
Information Sciences

Keywords

Optical And Ir Image Registration Plant Water Stress Analysis Thermal Imagery Variable Resolution Algorithm Based Normalized Cross Correlation Cwsi Canny Edge Detection