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33963

Spectral Signature for Detecting Pest Infestation of Some Cultivated Plants in the Northern West Coast of Egypt.

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Last updated: 22 Jan 2023

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Abstract

   Early detection of pest infestation is essential for determining the optimal time for control application. Many studies indicated the effectiveness of remote sensing technology as a tool to identify plants stressed by pest infestation. In the current study, we observed using hyper spectral remotely sensed data for discrimination between healthy and pest infested plants. Three arid-land plants were selected in the current study: sweet almond, citrus lemon trees and olives. As the first step of the analysis, spectral reflectance pattern for the three plants healthy and infected was identified. The optimal waveband and wavelength/s to differentiate between healthy and infected plants were identified. Different vegetation indices: Modified Chlorophyll Absorption in Reflectance Index (MCARI), Transformed Chlorophyll Absorption in Reflectance Index (TCARI), and Normalized Pigment Chlorophyll Index (NPCI) were calculated and compared between the values of these indices under infestation stress was examined. The results showed that healthy plants give higher reflectance values in visible spectral bands than infected plants with olives, however, healthy plants showed higher reflectance than infected plants throughout the whole spectrum with the other two plants. Vegetation indices values showed less value with healthy plants with sweet almond and citrus lemon but an opposite trend was found with olives. Blue and red spectral zones were optimal to differentiate between healthy and infected sweet almond and citrus lemon trees when all spectral zones except SWIRI were effective to differentiate between healthy and infected olives.    

DOI

10.21608/eajbsa.2019.33963

Keywords

Remote Sensing, hyperspectral data, Monitoring, predictions

Authors

First Name

Yones

Last Name

S.

MiddleName

M.

Affiliation

National Authority for Remote sensing and Space Sciences (NARSS), 23, Josef Proztito St. Elnozha Elgedida - P.O. Box 1564 Alf maskan Cairo, Egypt

Email

monayones@narss.sci.eg

City

-

Orcid

-

First Name

Aboelghar

Last Name

M.

MiddleName

-

Affiliation

National Authority for Remote sensing and Space Sciences (NARSS), 23, Josef Proztito St. Elnozha Elgedida - P.O. Box 1564 Alf maskan Cairo, Egypt

Email

-

City

-

Orcid

-

First Name

Khdery

Last Name

A.

MiddleName

G.

Affiliation

National Authority for Remote sensing and Space Sciences (NARSS), 23, Josef Proztito St. Elnozha Elgedida - P.O. Box 1564 Alf maskan Cairo, Egypt

Email

-

City

-

Orcid

-

First Name

Dahi

Last Name

F.

MiddleName

H.

Affiliation

Plant Protection Research Institute, (ARC), Giza, Egypt

Email

-

City

-

Orcid

-

First Name

Sowilem

Last Name

M.

MiddleName

-

Affiliation

National Authority for Remote sensing and Space Sciences (NARSS), 23, Josef Proztito St. Elnozha Elgedida - P.O. Box 1564 Alf maskan Cairo, Egypt

Email

-

City

-

Orcid

-

Volume

12

Article Issue

3

Related Issue

5287

Issue Date

2019-06-01

Receive Date

2019-01-29

Publish Date

2019-06-01

Page Start

73

Page End

83

Print ISSN

1687-8809

Online ISSN

2090-0813

Article File

EAJBSA_Volume 12_Issue 3_Pages 73-83.pdf

PDF . 1.7MB

Link

https://eajbsa.journals.ekb.eg/article_33963.html

Detail API

https://eajbsa.journals.ekb.eg/service?article_code=33963

Order

6

Type

Original Article

Type Code

667

Publication Type

Journal

Publication Title

Egyptian Academic Journal of Biological Sciences. A, Entomology

Publication Link

https://eajbsa.journals.ekb.eg/

MainTitle

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Details

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Article

Created At

22 Jan 2023