DISTINGUISHING HEAVY METALS CONCENTRATION IN GREEN LEAFY VEGETABLES BY USING THE RGB COLOR MODEL

The objective of this research was to study of the correlation between RGB colour indicators and lead concentration in leafy plants. Cabbage and lettuce crops were watered with 3 levels of Lead Pb-contaminated (2.4 and 6 mg/lit). To distinguish the heavy metal contamination and their impact on veget...

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Main Authors: Tarek FOUDA, Eltaher MADY, Nouri AL BAY, Shaimaa SALAH
Format: Article
Language:English
Published: University of Agricultural Sciences and Veterinary Medicine, Bucharest 2024-01-01
Series:Scientific Papers Series : Management, Economic Engineering in Agriculture and Rural Development
Online Access:https://managementjournal.usamv.ro/pdf/vol.24_1/Art42.pdf
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author Tarek FOUDA
Eltaher MADY
Nouri AL BAY
Shaimaa SALAH
author_facet Tarek FOUDA
Eltaher MADY
Nouri AL BAY
Shaimaa SALAH
author_sort Tarek FOUDA
collection DOAJ
description The objective of this research was to study of the correlation between RGB colour indicators and lead concentration in leafy plants. Cabbage and lettuce crops were watered with 3 levels of Lead Pb-contaminated (2.4 and 6 mg/lit). To distinguish the heavy metal contamination and their impact on vegetative characteristics for plants, the results showed with the levels of poisoning (0,2,4, and 6 mg/lit) showed the maximum value of Hue and vegetative were 0.76. and 0.032, also showed the minimum value for the same indices were 2.15 and 1.51. Also with the levels of poisoning (0,2,4, and 6mg/lit) showed the maximum value of simple red–green ratio and Green–red vegetation index was 1.61. and 0.23, also showed the minimum value for the same indices were 1.28 and 0.12. for Cabbage crops while for lettuce the results showed with the levels of poisoning (0, 2, 4, and 6 mg/lit) showed the maximum value of Hue and vegetative were 0.71. and 0.027, also showed the minimum value for the same indices were 0.41 and 0.024. Also with the levels of poisoning (0,2,4, and 6 mg/lit) showed the maximum value of simple red–green ratio and Green–red vegetation index was 1.65. and 0.43, also showed the minimum value for the same indices were 1.6 and 0.2. Linear regression analysis was performed on the equations to predict the monitoring Hue and vegetative and simple red–green ratio and Green–red vegetation index The red, green, blue band and intensity, the simple blue–green ratio addition to visible atmospherically resistant index simple green leaf and normalized green-blue difference index The RGB-based vegetation index 2 and RGB-based vegetation index 3 at different poisoning levels. The existence of a strong relationship between them and contains a high coefficient of determination.
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language English
publishDate 2024-01-01
publisher University of Agricultural Sciences and Veterinary Medicine, Bucharest
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series Scientific Papers Series : Management, Economic Engineering in Agriculture and Rural Development
spelling doaj-art-b6a8665c732d41a3a5e351e52f6879822025-08-20T02:06:50ZengUniversity of Agricultural Sciences and Veterinary Medicine, BucharestScientific Papers Series : Management, Economic Engineering in Agriculture and Rural Development2284-79952285-39522024-01-01241395406422DISTINGUISHING HEAVY METALS CONCENTRATION IN GREEN LEAFY VEGETABLES BY USING THE RGB COLOR MODELTarek FOUDAEltaher MADYNouri AL BAYShaimaa SALAHThe objective of this research was to study of the correlation between RGB colour indicators and lead concentration in leafy plants. Cabbage and lettuce crops were watered with 3 levels of Lead Pb-contaminated (2.4 and 6 mg/lit). To distinguish the heavy metal contamination and their impact on vegetative characteristics for plants, the results showed with the levels of poisoning (0,2,4, and 6 mg/lit) showed the maximum value of Hue and vegetative were 0.76. and 0.032, also showed the minimum value for the same indices were 2.15 and 1.51. Also with the levels of poisoning (0,2,4, and 6mg/lit) showed the maximum value of simple red–green ratio and Green–red vegetation index was 1.61. and 0.23, also showed the minimum value for the same indices were 1.28 and 0.12. for Cabbage crops while for lettuce the results showed with the levels of poisoning (0, 2, 4, and 6 mg/lit) showed the maximum value of Hue and vegetative were 0.71. and 0.027, also showed the minimum value for the same indices were 0.41 and 0.024. Also with the levels of poisoning (0,2,4, and 6 mg/lit) showed the maximum value of simple red–green ratio and Green–red vegetation index was 1.65. and 0.43, also showed the minimum value for the same indices were 1.6 and 0.2. Linear regression analysis was performed on the equations to predict the monitoring Hue and vegetative and simple red–green ratio and Green–red vegetation index The red, green, blue band and intensity, the simple blue–green ratio addition to visible atmospherically resistant index simple green leaf and normalized green-blue difference index The RGB-based vegetation index 2 and RGB-based vegetation index 3 at different poisoning levels. The existence of a strong relationship between them and contains a high coefficient of determination.https://managementjournal.usamv.ro/pdf/vol.24_1/Art42.pdf
spellingShingle Tarek FOUDA
Eltaher MADY
Nouri AL BAY
Shaimaa SALAH
DISTINGUISHING HEAVY METALS CONCENTRATION IN GREEN LEAFY VEGETABLES BY USING THE RGB COLOR MODEL
Scientific Papers Series : Management, Economic Engineering in Agriculture and Rural Development
title DISTINGUISHING HEAVY METALS CONCENTRATION IN GREEN LEAFY VEGETABLES BY USING THE RGB COLOR MODEL
title_full DISTINGUISHING HEAVY METALS CONCENTRATION IN GREEN LEAFY VEGETABLES BY USING THE RGB COLOR MODEL
title_fullStr DISTINGUISHING HEAVY METALS CONCENTRATION IN GREEN LEAFY VEGETABLES BY USING THE RGB COLOR MODEL
title_full_unstemmed DISTINGUISHING HEAVY METALS CONCENTRATION IN GREEN LEAFY VEGETABLES BY USING THE RGB COLOR MODEL
title_short DISTINGUISHING HEAVY METALS CONCENTRATION IN GREEN LEAFY VEGETABLES BY USING THE RGB COLOR MODEL
title_sort distinguishing heavy metals concentration in green leafy vegetables by using the rgb color model
url https://managementjournal.usamv.ro/pdf/vol.24_1/Art42.pdf
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