Mapping of the distribution of oil palm using Landsat 8 data by comparing machine learning and non-machine learning algorithms

N. S.N. Shaharum, H. Z.M. Shafri, W. A.W.A. Ghani, S. Samsatli

Research output: Contribution to journalArticle

Abstract


Original languageEnglish
JournalPertanika Journal of Tropical Agricultural Science
Publication statusAccepted/In press - 5 Sep 2018
Event4th International Conference on Agricultural & Food Engineering (CAFEi2018) - Kuala Lumpur, Malaysia
Duration: 7 Nov 20189 Nov 2018

Cite this

@article{c032add0c57d40a3aee5855ebf8110f9,
title = "Mapping of the distribution of oil palm using Landsat 8 data by comparing machine learning and non-machine learning algorithms",
author = "Shaharum, {N. S.N.} and Shafri, {H. Z.M.} and Ghani, {W. A.W.A.} and S. Samsatli",
year = "2018",
month = "9",
day = "5",
language = "English",
journal = "Pertanika Journal of Tropical Agricultural Science",
issn = "1511-3701",
publisher = "Universiti Putra Malaysia",

}

TY - JOUR

T1 - Mapping of the distribution of oil palm using Landsat 8 data by comparing machine learning and non-machine learning algorithms

AU - Shaharum, N. S.N.

AU - Shafri, H. Z.M.

AU - Ghani, W. A.W.A.

AU - Samsatli, S.

PY - 2018/9/5

Y1 - 2018/9/5

M3 - Article

JO - Pertanika Journal of Tropical Agricultural Science

JF - Pertanika Journal of Tropical Agricultural Science

SN - 1511-3701

ER -