KLASIFIKASI UMUR LAHAN PERKEBUNAN KELAPA SAWIT MENGGUNAKAN METODE LOCAL BINARY PATTERN (LBP)

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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