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A comparison of the vegetation index of KorKor 49 rice field from orthomosaic map and video by using unmanned aerial vehicle |
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| รหัสดีโอไอ | |
| Creator | Thitinun Pongnam |
| Title | A comparison of the vegetation index of KorKor 49 rice field from orthomosaic map and video by using unmanned aerial vehicle |
| Contributor | Panuwat Rosoda, Sutayut Lunchantha, Kamonchanok Hongdaengand, Paramust Juntarakod, Sirorat Pilawut |
| Publisher | Faculty of Engineering, Khon Kaen University |
| Publication Year | 2568 |
| Journal Title | Agricultural and Biological Engineering |
| Journal Vol. | 2 |
| Journal No. | 1 |
| Page no. | 20-25 |
| Keyword | Unmanned aerial vehicle (UAV), Vegetation Index, Image processing |
| URL Website | https://ph04.tci-thaijo.org/index.php/abe |
| Website title | ThaiJo |
| ISSN | 3056-932X (Online) |
| Abstract | A comparison of the vegetation Index of KorKor 49 rice field from orthomosaic map and video by using unmanned aerial vehicle (UAV) aim to study a possibility of the RGB color index analysis for calculate the vegetation Index such as VARI, EXG, YIELD and Chlorophyll by using photos and videos from the UAV during the tillering, booting, flowering, and pre-harvesting stages. The RGB color index was analysis by 2 cases, Case 1 creating an orthomosaic map from photo (the photos were taken from UAV) by the process of photogrammetry using Agisoft Metashape program then analyzing the RGB color index by using QGIS program, Case 2 analysis the RGB color index by using video processing technique from MATLAB program. The result of the RGB color index from 2 case shown that it can be used to analysis the vegetation index, yield and chlorophyll which different situation. The comparison between 4 parameters shown that, VARI index the MATLAB analysis method has a trend to be consistent with rice growth than the QGIS method, EXG index the QGIS analysis method has a trend to be consistent with rice growth than the MATLAB method, chlorophyll value the MATLAB analysis method has a trend to be consistent with rice growth than the QGIS method and yield shown that, the QGIS analysis method can give precise a rice yield prediction than the MATLAB method which was error 14% in the pre-harvest stage. |
