INTEGRATING IMAGE PROCESSING TECHNIQUES WITH VEGETATION INDICES FOR MONITORING GROWTH STAGES AND GENERAL HEALTH FOR FABA BEAN CROP
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 sp...
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| Format: | Article |
| Language: | English |
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University of Agricultural Sciences and Veterinary Medicine, Bucharest
2024-01-01
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| Series: | Scientific Papers Series : Management, Economic Engineering in Agriculture and Rural Development |
| Online Access: | https://managementjournal.usamv.ro/pdf/vol.24_3/Art35.pdf |
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| author | Tarek FOUDA Abeer ABDELSALAM |
| author_facet | Tarek FOUDA Abeer ABDELSALAM |
| author_sort | Tarek FOUDA |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-d2e5f80291174322bd86d09ecf9241e6 |
| institution | Kabale University |
| issn | 2284-7995 2285-3952 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | University of Agricultural Sciences and Veterinary Medicine, Bucharest |
| record_format | Article |
| series | Scientific Papers Series : Management, Economic Engineering in Agriculture and Rural Development |
| spelling | doaj-art-d2e5f80291174322bd86d09ecf9241e62025-08-20T03:45:18ZengUniversity of Agricultural Sciences and Veterinary Medicine, BucharestScientific Papers Series : Management, Economic Engineering in Agriculture and Rural Development2284-79952285-39522024-01-01243323330105INTEGRATING IMAGE PROCESSING TECHNIQUES WITH VEGETATION INDICES FOR MONITORING GROWTH STAGES AND GENERAL HEALTH FOR FABA BEAN CROPTarek FOUDAAbeer ABDELSALAMThe 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.https://managementjournal.usamv.ro/pdf/vol.24_3/Art35.pdf |
| spellingShingle | Tarek FOUDA Abeer ABDELSALAM 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 |
| title | INTEGRATING IMAGE PROCESSING TECHNIQUES WITH VEGETATION INDICES FOR MONITORING GROWTH STAGES AND GENERAL HEALTH FOR FABA BEAN CROP |
| title_full | INTEGRATING IMAGE PROCESSING TECHNIQUES WITH VEGETATION INDICES FOR MONITORING GROWTH STAGES AND GENERAL HEALTH FOR FABA BEAN CROP |
| title_fullStr | INTEGRATING IMAGE PROCESSING TECHNIQUES WITH VEGETATION INDICES FOR MONITORING GROWTH STAGES AND GENERAL HEALTH FOR FABA BEAN CROP |
| title_full_unstemmed | INTEGRATING IMAGE PROCESSING TECHNIQUES WITH VEGETATION INDICES FOR MONITORING GROWTH STAGES AND GENERAL HEALTH FOR FABA BEAN CROP |
| title_short | INTEGRATING IMAGE PROCESSING TECHNIQUES WITH VEGETATION INDICES FOR MONITORING GROWTH STAGES AND GENERAL HEALTH FOR FABA BEAN CROP |
| title_sort | integrating image processing techniques with vegetation indices for monitoring growth stages and general health for faba bean crop |
| url | https://managementjournal.usamv.ro/pdf/vol.24_3/Art35.pdf |
| work_keys_str_mv | AT tarekfouda integratingimageprocessingtechniqueswithvegetationindicesformonitoringgrowthstagesandgeneralhealthforfababeancrop AT abeerabdelsalam integratingimageprocessingtechniqueswithvegetationindicesformonitoringgrowthstagesandgeneralhealthforfababeancrop |