ISSN 2284-7995, ISSN Online 2285-3952
 

INTEGRATING IMAGE PROCESSING TECHNIQUES WITH VEGETATION INDICES FOR MONITORING GROWTH STAGES AND GENERAL HEALTH FOR FABA BEAN CROP

Published in Scientific Papers. Series "Management, Economic Engineering in Agriculture and rural development", Vol. 24 ISSUE 3
Written by Tarek FOUDA, Abeer ABDELSALAM

The measurable value of vegetation cover resulting from image RGB bands was used in monitoring the growth stages of faba bean crop as well as obtaining information about the accuracy of vegetation analysis. In addition, this process takes little time while field measurements give results on small spatial scales with high temporal data. Usually requires a lot of measuring and sampling. In addition, this process takes a long time. The highest accuracy and the shortest time to extract color characteristics, it was advised to utilize an assistant programming program Matlab with using digital picture to verify the color vegetation indices during growth periods of faba bean crop from November 2021 to February 2022. The results showed an increase in the percentage values of green band, intensity, Hue, EXGR, GVI, VARI, NDI, EXG, VEG, CIVE, and MEXG through (budding, to podding) stages were 4.65, 7.13, 24.54, 24.12, 28, 11.24, 15.11, 83.66, 60.79, and 15 % respectively. RGB Vegetation Indices which used accurately to distinguish and monitor the condition of the plant GRVI (Green Red Vegetation Index) VARI (Visible Atmospheric Resistance Index) GLI (Green Leaf Index) TGI (Triangular Greenness Index)To describe of crop health and growth rates.

[Read full article] [Citation]

FOUDA T., ABDELSALAM A. 2024, INTEGRATING IMAGE PROCESSING TECHNIQUES WITH VEGETATION INDICES FOR MONITORING GROWTH STAGES AND GENERAL HEALTH FOR FABA BEAN CROP . Scientific Papers. Series "Management, Economic Engineering in Agriculture and rural development", Vol. 24 ISSUE 3, PRINT ISSN 2284-7995, 323-330.

The publisher is not responsible for the opinions published in the Volume. They represent the authors’ point of view.

© 2019 To be cited: Scientific Papers. Series “Management, Economic Engineering in Agriculture and Rural Development“.

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