Morphological, Morphometric, and Distribution Pattern Characteristics of Optimal Harvest Phase Sago in Forest Area Based on Drone Imagery
The development of remote sensing systems is considered an important innovation in supporting the optimization of today's food crop production, especially the development of sensor technology that can capture detailed variations in plant information. On the other hand, Sago is one of the food c...
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CV. Literasi Indonesia
2024-12-01
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| Series: | Indonesian Journal of Social and Environmental Issues |
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| Online Access: | https://ojs.literacyinstitute.org/index.php/ijsei/article/view/1720 |
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| author | Iriansa Mutmainnah |
| author_facet | Iriansa Mutmainnah |
| author_sort | Iriansa |
| collection | DOAJ |
| description | The development of remote sensing systems is considered an important innovation in supporting the optimization of today's food crop production, especially the development of sensor technology that can capture detailed variations in plant information. On the other hand, Sago is one of the food crops that is considered to have the potential for development to improve the community's economy and increase global food security. The main objective of this study is to extract the morphological characteristics, morphometry, and distribution patterns of sago in the optimal harvest phase in non-cultivated areas. Very high-resolution Drone imagery was produced through recording with a flight height of 50 meters above the ground using the DJI Mavic 3 Pro. Samples of sago stand coordinates in the optimal harvest phase were collected through field observations. The characteristics of each sample were extracted through a visual interpretation approach and the nearest neighbor analysis technique. The results showed that the morphological and morphometric characteristics of sago stands in the optimal harvest phase can be assessed from Drone Imagery. Each sample shows the same pattern with the shape of trees, leaflets, and canopies that stand out in one clump and have 3-6 young leaflets. The average morphometric parameters of the optimal harvest phase showed low correlation and were randomly distributed with very sparse distances between stands (around 7 trees/ha). |
| format | Article |
| id | doaj-art-89549e33515c49e493c268cff70c0c35 |
| institution | Kabale University |
| issn | 2722-1369 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | CV. Literasi Indonesia |
| record_format | Article |
| series | Indonesian Journal of Social and Environmental Issues |
| spelling | doaj-art-89549e33515c49e493c268cff70c0c352025-01-20T00:37:02ZengCV. Literasi IndonesiaIndonesian Journal of Social and Environmental Issues2722-13692024-12-015331833410.47540/ijsei.v5i3.17201721Morphological, Morphometric, and Distribution Pattern Characteristics of Optimal Harvest Phase Sago in Forest Area Based on Drone ImageryIriansa0Mutmainnah1Faculty of Computer Engineering, Cokroaminoto Palopo University, IndonesiaFaculty of Agriculture, Cokroaminoto Palopo University, IndonesiaThe development of remote sensing systems is considered an important innovation in supporting the optimization of today's food crop production, especially the development of sensor technology that can capture detailed variations in plant information. On the other hand, Sago is one of the food crops that is considered to have the potential for development to improve the community's economy and increase global food security. The main objective of this study is to extract the morphological characteristics, morphometry, and distribution patterns of sago in the optimal harvest phase in non-cultivated areas. Very high-resolution Drone imagery was produced through recording with a flight height of 50 meters above the ground using the DJI Mavic 3 Pro. Samples of sago stand coordinates in the optimal harvest phase were collected through field observations. The characteristics of each sample were extracted through a visual interpretation approach and the nearest neighbor analysis technique. The results showed that the morphological and morphometric characteristics of sago stands in the optimal harvest phase can be assessed from Drone Imagery. Each sample shows the same pattern with the shape of trees, leaflets, and canopies that stand out in one clump and have 3-6 young leaflets. The average morphometric parameters of the optimal harvest phase showed low correlation and were randomly distributed with very sparse distances between stands (around 7 trees/ha).https://ojs.literacyinstitute.org/index.php/ijsei/article/view/1720drone imagerymorphologicalmorphometricoptimal harvest phasesago |
| spellingShingle | Iriansa Mutmainnah Morphological, Morphometric, and Distribution Pattern Characteristics of Optimal Harvest Phase Sago in Forest Area Based on Drone Imagery Indonesian Journal of Social and Environmental Issues drone imagery morphological morphometric optimal harvest phase sago |
| title | Morphological, Morphometric, and Distribution Pattern Characteristics of Optimal Harvest Phase Sago in Forest Area Based on Drone Imagery |
| title_full | Morphological, Morphometric, and Distribution Pattern Characteristics of Optimal Harvest Phase Sago in Forest Area Based on Drone Imagery |
| title_fullStr | Morphological, Morphometric, and Distribution Pattern Characteristics of Optimal Harvest Phase Sago in Forest Area Based on Drone Imagery |
| title_full_unstemmed | Morphological, Morphometric, and Distribution Pattern Characteristics of Optimal Harvest Phase Sago in Forest Area Based on Drone Imagery |
| title_short | Morphological, Morphometric, and Distribution Pattern Characteristics of Optimal Harvest Phase Sago in Forest Area Based on Drone Imagery |
| title_sort | morphological morphometric and distribution pattern characteristics of optimal harvest phase sago in forest area based on drone imagery |
| topic | drone imagery morphological morphometric optimal harvest phase sago |
| url | https://ojs.literacyinstitute.org/index.php/ijsei/article/view/1720 |
| work_keys_str_mv | AT iriansa morphologicalmorphometricanddistributionpatterncharacteristicsofoptimalharvestphasesagoinforestareabasedondroneimagery AT mutmainnah morphologicalmorphometricanddistributionpatterncharacteristicsofoptimalharvestphasesagoinforestareabasedondroneimagery |