Effectiveness of Drone Utilization and Spatial Verification of Palm Oil Key Points
Keywords:
Drone, UAV, Oil Palm, Mapping, Plantation Management, Remote Sensing.Abstract
The advancement of remote sensing technology has driven the utilization of drones (Unmanned Aerial Vehicle/UAV) in the management of oil palm plantations more efficiently, accurately, and sustainably. This article examines the effectiveness of drone utilization followed by spatial verification of oil palm key points in spatial mapping, oil palm inventory, plant health monitoring, and plantation infrastructure surveillance. The analysis is based on international literature and empirical findings that represent the development of UAV implementation in the plantation industry. The study results indicate that the use of drones and the verification process can improve data accuracy to over 95%, reduce field survey durations, and support data-driven agronomic decision-making. Additionally, drone technology has the potential to strengthen sustainable plantation practices, especially in terms of land efficiency, reducing yield loss, and mitigating environmental risks.
References
BPDP, “Indonesia, Produsen Minyak Sawit Paling Sustainable di Dunia.”
FAO, World Food and Agriculture – Statistical Yearbook 2022. FAO, 2022. doi: 10.4060/cc2211en.
M. F. F. Rahman, S. Fan, Y. Zhang, and L. Chen, “A comparative study on application of unmanned aerial vehicle systems in agriculture,” Jan. 01, 2021, MDPI AG. doi: 10.3390/agriculture11010022.
G. Li et al., “Practices and applications of convolutional neural network-based computer vision systems in animal farming: A review,” Feb. 02, 2021, MDPI AG. doi: 10.3390/s21041492.
P. Velusamy, S. Rajendran, R. K. Mahendran, S. Naseer, M. Shafiq, and J. G. Choi, “Unmanned aerial vehicles (Uav) in precision agriculture: Applications and challenges,” Jan. 01, 2022, MDPI. doi: 10.3390/en15010217.
D. C. Tsouros, S. Bibi, and P. G. Sarigiannidis, “A review on UAV-based applications for precision agriculture,” Nov. 01, 2019, MDPI AG. doi: 10.3390/info10110349.
I. M. Anuar et al., “Remote Sensing for Detection of Ganoderma Disease and Bagworm Infestation in Oil Palm,” Advances in Agricultural and Food Research Journal, Jan. 2021, doi: 10.36877/aafrj.a0000189.
A. Stefano, “Pemanfaatan GIS (Geographic Information System) untuk Memonitor Kesehatan Tanaman Kelapa Sawit Application of GIS (Geographic Information System) in Monitoring the Health of Palm Oil Plant,” vol. 15, no. 02, 2019.
H. Swanda et al., “Pemanfaatan Teknologi Pesawat Tanpa Awak Untuk Identifikasi Klasifikasi Tutupan Lahan (Studi Kasus : Kawasan Tahura SSH),” vol. 1, pp. 157–167, 2021.
E. Bahrom, “UAV-Based RGB/NIR Aerial Imaging For The Detection of Ganoderma Disease in Oil Palm Plantation,” 2018.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Hanifah Mutia Zaida Ningrum Amrul, Julia Marisa; Muhammad Wahyu Syahputra, Rusnanto, Heru Wahyudi, Akbar Zuhri Harahap
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
International Conference On Islamic Community Studies, Education and Science, its website, and the articles published therein are licensed under a 
