Zoea Crab Larva Counter (CLARCO) Based On Image Processing With Adaptive Gaussian Filter Algorithm And Blob Detection Technique
The size of crab larvae is very small, so there is no accurate and easy-to-use crab larvae counting tool at an affordable price. The low larval survival rate is due to the unknown larval stocking density, which causes cannibalism, a feed-to-larvae ratio that is out of proportion to the number of lar...
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| Language: | English |
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Universitas Teknologi Akba Makassar, Lembaga Penelitian dan Pengabdian Masyarakat
2023-06-01
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| Series: | Inspiration |
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| Online Access: | https://ojs.unitama.ac.id/index.php/inspiration/article/view/48 |
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| author | Furqan Zakiyabarsi Arizal Arizal Annisa Nurul Puteri Achmad Zulfajri S Muhammad Syafaat |
| author_facet | Furqan Zakiyabarsi Arizal Arizal Annisa Nurul Puteri Achmad Zulfajri S Muhammad Syafaat |
| author_sort | Furqan Zakiyabarsi |
| collection | DOAJ |
| description | The size of crab larvae is very small, so there is no accurate and easy-to-use crab larvae counting tool at an affordable price. The low larval survival rate is due to the unknown larval stocking density, which causes cannibalism, a feed-to-larvae ratio that is out of proportion to the number of larvae needed to maintain water quality, a water supply that is out of proportion to stocking density, and is economically unfavorable in terms of cultivation, feed management, maintaining water quality, and the buying and selling process. Accurately estimating the amount of crab larvae is anticipated to boost their survival rate and make them more economically successful. This research is a continuation of previous research with the addition of different methods using adaptive gaussian filter algorithms and blob detection techniques to count crab larvae in the zoea-2, zoea-3, and zoea-4 phases where an increase in accuracy was obtained with an average of 97.67 %. |
| format | Article |
| id | doaj-art-53ec05f1dcfd47b08af9a96418c9208a |
| institution | Kabale University |
| issn | 2088-6705 2621-5608 |
| language | English |
| publishDate | 2023-06-01 |
| publisher | Universitas Teknologi Akba Makassar, Lembaga Penelitian dan Pengabdian Masyarakat |
| record_format | Article |
| series | Inspiration |
| spelling | doaj-art-53ec05f1dcfd47b08af9a96418c9208a2025-01-28T05:36:06ZengUniversitas Teknologi Akba Makassar, Lembaga Penelitian dan Pengabdian MasyarakatInspiration2088-67052621-56082023-06-01131869510.35585/inspir.v13i1.4848Zoea Crab Larva Counter (CLARCO) Based On Image Processing With Adaptive Gaussian Filter Algorithm And Blob Detection TechniqueFurqan Zakiyabarsi0Arizal Arizal1Annisa Nurul Puteri2Achmad Zulfajri S3Muhammad Syafaat4Institut Teknologi dan Bisnis KallaPoliteknik Sandi dan Siber NegaraUniversitas Teknologi Akba MakassarInstitut Teknologi dan Bisnis KallaInstitut Teknologi dan Bisnis KallaThe size of crab larvae is very small, so there is no accurate and easy-to-use crab larvae counting tool at an affordable price. The low larval survival rate is due to the unknown larval stocking density, which causes cannibalism, a feed-to-larvae ratio that is out of proportion to the number of larvae needed to maintain water quality, a water supply that is out of proportion to stocking density, and is economically unfavorable in terms of cultivation, feed management, maintaining water quality, and the buying and selling process. Accurately estimating the amount of crab larvae is anticipated to boost their survival rate and make them more economically successful. This research is a continuation of previous research with the addition of different methods using adaptive gaussian filter algorithms and blob detection techniques to count crab larvae in the zoea-2, zoea-3, and zoea-4 phases where an increase in accuracy was obtained with an average of 97.67 %.https://ojs.unitama.ac.id/index.php/inspiration/article/view/48adaptive gaussian filterblob detection techniquecrab larvaecounterimage processing |
| spellingShingle | Furqan Zakiyabarsi Arizal Arizal Annisa Nurul Puteri Achmad Zulfajri S Muhammad Syafaat Zoea Crab Larva Counter (CLARCO) Based On Image Processing With Adaptive Gaussian Filter Algorithm And Blob Detection Technique Inspiration adaptive gaussian filter blob detection technique crab larvae counter image processing |
| title | Zoea Crab Larva Counter (CLARCO) Based On Image Processing With Adaptive Gaussian Filter Algorithm And Blob Detection Technique |
| title_full | Zoea Crab Larva Counter (CLARCO) Based On Image Processing With Adaptive Gaussian Filter Algorithm And Blob Detection Technique |
| title_fullStr | Zoea Crab Larva Counter (CLARCO) Based On Image Processing With Adaptive Gaussian Filter Algorithm And Blob Detection Technique |
| title_full_unstemmed | Zoea Crab Larva Counter (CLARCO) Based On Image Processing With Adaptive Gaussian Filter Algorithm And Blob Detection Technique |
| title_short | Zoea Crab Larva Counter (CLARCO) Based On Image Processing With Adaptive Gaussian Filter Algorithm And Blob Detection Technique |
| title_sort | zoea crab larva counter clarco based on image processing with adaptive gaussian filter algorithm and blob detection technique |
| topic | adaptive gaussian filter blob detection technique crab larvae counter image processing |
| url | https://ojs.unitama.ac.id/index.php/inspiration/article/view/48 |
| work_keys_str_mv | AT furqanzakiyabarsi zoeacrablarvacounterclarcobasedonimageprocessingwithadaptivegaussianfilteralgorithmandblobdetectiontechnique AT arizalarizal zoeacrablarvacounterclarcobasedonimageprocessingwithadaptivegaussianfilteralgorithmandblobdetectiontechnique AT annisanurulputeri zoeacrablarvacounterclarcobasedonimageprocessingwithadaptivegaussianfilteralgorithmandblobdetectiontechnique AT achmadzulfajris zoeacrablarvacounterclarcobasedonimageprocessingwithadaptivegaussianfilteralgorithmandblobdetectiontechnique AT muhammadsyafaat zoeacrablarvacounterclarcobasedonimageprocessingwithadaptivegaussianfilteralgorithmandblobdetectiontechnique |