| Autor: |
Rahmawati Diana, Alfita Riza, Ulum Miftachul, Murdianto Dedek |
| Jazyk: |
English<br />French |
| Rok vydání: |
2021 |
| Předmět: |
|
| Zdroj: |
E3S Web of Conferences, Vol 328, p 04007 (2021) |
| Druh dokumentu: |
article |
| ISSN: |
2267-1242 |
| DOI: |
10.1051/e3sconf/202132804007 |
| Popis: |
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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
|
