Tobacco Farming Mapping To Determine The Number Of Plants Using Contour Detection Method
Indonesia’s climate has suitable for tobacco growth. tobacco plants can live in drylands. Tobacco is planted optimum with a size of 100cm x 70cm. The right size is used to count the amount of tobacco that will be planted according to the area of the land. Technology developed to help the farmer to m...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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EDP Sciences
2021-01-01
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| Series: | E3S Web of Conferences |
| Subjects: | |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/104/e3sconf_icstunkhair2021_04007.pdf |
| _version_ | 1818701920891568128 |
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| author | Rahmawati Diana Alfita Riza Ulum Miftachul Murdianto Dedek |
| author_facet | Rahmawati Diana Alfita Riza Ulum Miftachul Murdianto Dedek |
| author_sort | Rahmawati Diana |
| collection | DOAJ |
| description | Indonesia’s climate has suitable for tobacco growth. tobacco plants can live in drylands. Tobacco is planted optimum with a size of 100cm x 70cm. The right size is used to count the amount of tobacco that will be planted according to the area of the land. Technology developed to help the farmer to monitor their crops and yields, by using image processing. Farmers can count easily without having to go to the field to calculate manually. In our research, image processing is used combined with knowledge base data. Images taken using drones, then be processed using image processing using the contour detection method to count the number of a tobacco plant. The results of 80 times system testing, which is using 4 parameters, 20 samples for each parameter. The success rate of the first test was 86.597% with a 13.402% error rate. The second test’s success rate is 87.63% with a 12.306% error rate. of the third test obtained an 87.033% success rate and an error rate of 12.966%. The fourth test results from an 85.431% success rate and 14.56% error rate. |
| first_indexed | 2024-12-17T15:28:31Z |
| format | Article |
| id | doaj.art-7d030ef0bac84bc9bb77e7a9c036dde0 |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-12-17T15:28:31Z |
| publishDate | 2021-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-7d030ef0bac84bc9bb77e7a9c036dde02022-12-21T21:43:12ZengEDP SciencesE3S Web of Conferences2267-12422021-01-013280400710.1051/e3sconf/202132804007e3sconf_icstunkhair2021_04007Tobacco Farming Mapping To Determine The Number Of Plants Using Contour Detection MethodRahmawati DianaAlfita RizaUlum MiftachulMurdianto DedekIndonesia’s climate has suitable for tobacco growth. tobacco plants can live in drylands. Tobacco is planted optimum with a size of 100cm x 70cm. The right size is used to count the amount of tobacco that will be planted according to the area of the land. Technology developed to help the farmer to monitor their crops and yields, by using image processing. Farmers can count easily without having to go to the field to calculate manually. In our research, image processing is used combined with knowledge base data. Images taken using drones, then be processed using image processing using the contour detection method to count the number of a tobacco plant. The results of 80 times system testing, which is using 4 parameters, 20 samples for each parameter. The success rate of the first test was 86.597% with a 13.402% error rate. The second test’s success rate is 87.63% with a 12.306% error rate. of the third test obtained an 87.033% success rate and an error rate of 12.966%. The fourth test results from an 85.431% success rate and 14.56% error rate.https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/104/e3sconf_icstunkhair2021_04007.pdfcontour detection methoddronetobacco plantmappingimage processing |
| spellingShingle | Rahmawati Diana Alfita Riza Ulum Miftachul Murdianto Dedek Tobacco Farming Mapping To Determine The Number Of Plants Using Contour Detection Method E3S Web of Conferences contour detection method drone tobacco plant mapping image processing |
| title | Tobacco Farming Mapping To Determine The Number Of Plants Using Contour Detection Method |
| title_full | Tobacco Farming Mapping To Determine The Number Of Plants Using Contour Detection Method |
| title_fullStr | Tobacco Farming Mapping To Determine The Number Of Plants Using Contour Detection Method |
| title_full_unstemmed | Tobacco Farming Mapping To Determine The Number Of Plants Using Contour Detection Method |
| title_short | Tobacco Farming Mapping To Determine The Number Of Plants Using Contour Detection Method |
| title_sort | tobacco farming mapping to determine the number of plants using contour detection method |
| topic | contour detection method drone tobacco plant mapping image processing |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/104/e3sconf_icstunkhair2021_04007.pdf |
| work_keys_str_mv | AT rahmawatidiana tobaccofarmingmappingtodeterminethenumberofplantsusingcontourdetectionmethod AT alfitariza tobaccofarmingmappingtodeterminethenumberofplantsusingcontourdetectionmethod AT ulummiftachul tobaccofarmingmappingtodeterminethenumberofplantsusingcontourdetectionmethod AT murdiantodedek tobaccofarmingmappingtodeterminethenumberofplantsusingcontourdetectionmethod |