Beta
ManageSearchChatDiscover
286180

Thermal- and RGB Imaging as Potential Tools for Assessing Chlorophyll and Nutritional Performance of Pepper (Capsicum annum)

Article

Last updated: 29 Dec 2024

OverviewSimilar Items

Subjects

-

Tags

Soil Sciences and Agricultural Engineering

Abstract

Nutrient management requires traditional soil and plant analysis, which is time-consuming, costly, and requires effort. Therefore, a lot of efforts have been directed toward developing novel approaches for estimating plants' status. Our objective was to evaluate the potential of thermal and RGB imaging to estimate Chlorophyll levels and some essential nutrients in the pepper plant (Capsicum annum). Forty plants were randomly selected and marked for subsequent imaging. Thermal and RGB sensor cameras have been used for remotely sensed image acquisition of the studied plants. Chlorophyll was measured by SPAD then Plants were analyzed for determination chlorophyll, Nitrogen, Phosphorus, Potassium, and sulfur contents. The correlation between the measured/observed values and data of thermal and RGB images was calculated, as well as seven vegetation indices. The results showed that Chlorophyll b, and Chlorophyll measured by SPAD significantly correlated with the blue band of RGB images (r=0.625 and 0.709), respectively. To assess the Chlorophyll performance, excess blue, excess green, excess green-red, and excess red indices, and the Color Index of Vegetation (CIVE) were the best. In thermal imaging: band3 in capture 1 was the best to assess Chlorophyll. The more fitting band to assess Nitrogen, potassium and sulfur was band2 in capture2. The more detective indices to assess pepper nutrient content were excess blue, excess green, excess green red, and CIVE indices. The regression analysis revealed that a simple linear equation can be used to estimate the percentage of Nitrogen, sulfur, and potassium in plants using the excess green index (r = 0.9159, 0.8942, 0.8715, and 0,9117, respectively) and the red-blue ratio index (RBRI) could be used to estimate the percentage of P (r = 0.9098). Thermal and RGB imaging can be used as a tool for assessing some nutrients and Chlorophyll content in pepper plants.

DOI

10.21608/jaesj.2023.183366.1053

Keywords

Thermal images, RGB images, Non-destructive methods, Chlorophyll, Nutrients

Authors

First Name

Emad

Last Name

Fawzy

MiddleName

-

Affiliation

Natural Resources and Agricultural Engineering Department, Faculty of Agriculture, Damanhour University, El-Beheira, Egypt

Email

emad.fawzy@agr.dmu.edu.eg

City

-

Orcid

-

First Name

Ahmed

Last Name

Harb

MiddleName

-

Affiliation

Natural Resources and Agricultural Engineering Department, Faculty of Agriculture, Damanhour University, El-Beheira, Egypt

Email

operaharb@hotmail.com

City

-

Orcid

-

First Name

Dalia

Last Name

Allam

MiddleName

Gamal

Affiliation

Natural resources and Agricultural Engineering Department, Faculty of Agriculture, Damanhour University, El-Beheira, Egypt

Email

daliaallam20172@yahoo.com

City

-

Orcid

-

First Name

Elsayed

Last Name

Abdelraouf

MiddleName

-

Affiliation

Natural Resources and Agricultural Engineering Department, Faculty of Agriculture, Damanhour University, El-Beheira, Egypt

Email

elsayed.abdelraouf@agr.dmu.edu.eg

City

-

Orcid

-

Volume

21

Article Issue

3

Related Issue

38805

Issue Date

2022-12-01

Receive Date

2022-12-26

Publish Date

2022-12-01

Page Start

80

Page End

100

Print ISSN

1687-1464

Online ISSN

2735-5098

Article File

JAESJ_Volume 21_Issue 3_Pages 80-100.pdf

PDF . 620.3kB

Link

https://jaesj.journals.ekb.eg/article_286180.html

Detail API

https://jaesj.journals.ekb.eg/service?article_code=286180

Order

286,180

Type

Full research articles

Type Code

2,324

Publication Type

Journal

Publication Title

Journal of Agricultural and Environmental Sciences

Publication Link

https://jaesj.journals.ekb.eg/

MainTitle

Thermal- and RGB Imaging as Potential Tools for Assessing Chlorophyll and Nutritional Performance of Pepper (Capsicum annum)

Details

Type

Article

Created At

29 Dec 2024