SUBCHAN, MUHAMAD (2016) KLASIFIKASI UMUR LAHAN PERKEBUNAN KELAPA SAWIT MENGGUNAKAN METODE LOCAL BINARY PATTERN (LBP). undergraduate thesis, Universitas Muhammadiyah Gresik.
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Abstract
Oil palm plantations are one of the products that have the highest value and the industry, including labor-intensive. Pengelolahan oil palm plantations up to this time-based block each block comprising one with the smallest units of planting age of 12-30 ha / block. This study makes a system that can see and distinguish the life of a young oil palm plantations, adults, elderly and not the palm oil land. Classifying types of aerial imagery of oil palm plantations based texture features using the K-NN. This system needs some improvement process image, among others: the process of converting to grayscale and test histogram equalization. 400 image that has diidentifikasika to determine the oil palm plantation group based textures using K-NN looking for value of neighborhood closest to K and generates the accuracy of each K is K = 3 (87%) K = 5 (85,5% ) K = 7 (83%) K9 = (81%).
| Item Type: | Thesis (undergraduate) |
|---|---|
| Subjects: | Engineering > Informatics Engineering Engineering |
| Divisions: | Faculty of Engineering > Informatics Engineering Study Program |
| Depositing User: | Shandy Rahma Ramadhan, S.IIP |
| Date Deposited: | 15 Jul 2019 10:20 |
| Last Modified: | 15 Jul 2019 10:20 |
| URI: | http://eprints.umg.ac.id/id/eprint/1980 |
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