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DISCRIMINATE THE SHORTAGE OF FERTILIZATION AND IRRIGATION FOR LEAFY PLANTS BY USING ALTERNATIVE REPRESENTATIONS OF THE RGB COLOR MODEL.

Authors :
FOUDA, Tarek
MADY, Eltaher
AL BAY, Nouri
SALAH, Shimaa
Source :
Scientific Papers Series Management, Economic Engineering in Agriculture & Rural Development. 2024, Vol. 24 Issue 1, p381-394. 14p.
Publication Year :
2024

Abstract

This study demonstrated the possibility of using the digital image model and Detect The RGB Colour Vegetation Indicators for Cabbage and Lettuce Crop under nitrogen deficiency and water deficiency. For cabbage, the results show the relationship between the vegetation indicators based on colour indicators and the different fertilization levels of cabbage crops, which were at level (50 ETC), indicating that the Hue index and vegetative reached their heights indicators in the fourth level of fertilization (150%) respectively, which amounted to 2.23 and 2.03. While their minimum indicators were the third level of fertilization and amounted to 2.10 and 0.64 respectively. For Lettuce, the results demonstrated the correlation between the color indicators and the fertilization level (0%), which was at level (100% ETC), during the third stage of irrigation. The simple red-green ratio, green-red vegetation index, and visible atmospherically resistant index all reached their maximum indicators on irrigation, amounting to 0.9, 0.84, and 1.07 respectively, while the simple blue-green ratio, green leaf was increasing until it reached 0.22, 0.73, then followed by the normalized green-blue difference whose maximum indicator reached 0.67 in the same period. As a result of irrigation, the RGB-based vegetation indexes 2 and 3 attained their maximum indicators, which were 5.56 and 6.74, respectively. After watering, the Hue index and vegetative indicators attained their respective peak values of 2.23 and 2.81. While their minimum markers were 2.16 and 2, respectively, before irrigation. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
22847995
Volume :
24
Issue :
1
Database :
Academic Search Index
Journal :
Scientific Papers Series Management, Economic Engineering in Agriculture & Rural Development
Publication Type :
Academic Journal
Accession number :
178079142