Detection of Oil Palm Trees Using Deep Learning Method with High-Resolution Aerial Image Data-Reference-Cited by-同舟云学术

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Detection of Oil Palm Trees Using Deep Learning Method with High-Resolution Aerial Image Data

Published:2023-10-24 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 8th International Conference on Sustainable Information Engineering and Technology
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Author:

Wardana Deny Prasetia Taruma¹^ORCID,Sianturi Riswan Septriayadi²^ORCID,Fatwa Ramdani³^ORCID

Affiliation:

1. Master of Computer Science, Universitas Brawijaya, Indonesia

2. Information System, Universitas Brawijaya, Indonesia

3. University of Tsukuba, Japan

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3626641.3626667

Reference10 articles.

1. S. S. Suhaily , M. Jawaid , H. P. S. A. Khalil , A. R. Mohamed , and F. Ibrahim , “ Review of palm composites ,” 2012 . S. S. Suhaily, M. Jawaid, H. P. S. A. Khalil, A. R. Mohamed, and F. Ibrahim, “Review of palm composites,” 2012.

2. Badan Pusat Statistik , “ Statistik Kelapa Sawit Indomesia Indonesian Oil Palm Statistic9 2019 ,” Jakarta , 2019 . Badan Pusat Statistik, “Statistik Kelapa Sawit Indomesia Indonesian Oil Palm Statistic9 2019,” Jakarta, 2019.

3. Towards the development of a regional version of MOD17 for the determination of gross and net primary productivity of oil palm trees

4. Cloud Removal in High Resolution Multispectral Satellite Imagery: Comparing Three Approaches

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