Integration of Low-Cost GNSS and Multispectral Camera to Increase Oil Palm Position Accuracy and Health Monitoring

被引:0
作者
Cahyadi, M. N. [1 ]
Syariz, M. A. [1 ]
Taufany, F. [2 ]
Lisnawita [3 ]
Wismaroh, S. S. [4 ]
Kusumawardani, D. [5 ]
Saputro, T. B. [6 ]
Haq, F. [1 ]
Laksmana, M. C. [1 ]
Triawan, L. A. [1 ]
机构
[1] Inst Teknol Sepuluh Nopember, Dept Geomat Engn, Surabaya 60111, Indonesia
[2] Inst Teknol Sepuluh Nopember, Dept Chem Engn, Surabaya 60111, Indonesia
[3] Univ Sumatera Utara, Fac Agr, Program Study Agrotechnol, Medan 20155, Indonesia
[4] Univ Pembangunan Masyarakat Indonesia, Dept Agrotechnol, Medan, Indonesia
[5] Univ Airlangga, Fac Econ & Business, Dept Econ, Surabaya, Indonesia
[6] Inst Teknol Sepuluh Nopember, Fac Sci & Data Analyt, Dept Biol, Surabaya, Indonesia
来源
CIVIL ENGINEERING JOURNAL-TEHRAN | 2025年 / 11卷 / 03期
关键词
Oil Palm; NDVI; Multispectral Camera; GNSS; Monitoring; NDVI; UAV;
D O I
10.28991/CEJ-2025-011-03-010
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The Global Navigation Satellite System facilitates efficient agricultural initiatives, resolving land ownership and precise plantation monitoring issues. The oil palm sector is deeply integrated into various economies due to the world's use in food supplies, cosmetics, and oil biodiesel production. However, local farmers have trouble managing the plantation's condition and land ownership due to the underdeveloped modern technology at their disposal. The Normalized Difference Vegetation Index was employed in order to assess the NDVI camera oil palm tree growth, utilizing a MAPIR Survey3 RGN Multispectral Camera integrated with red, green, and near IR sensors. Images were taken directly on the surface level to enable focused analysis on the palm trees. This included the use of an MPAR calibration ground target placed beside the leaves for data accuracy and an operator that held the camera to the trees. Utilizing this strategy allowed for a more intricate and detailed analysis of each oil palm tree, and due to the coordination of the trees, aerial images were produced to create a detailed image. Low-cost GNSS instruments alongside RTK technology were employed in determining the coordinate position of the oil palm trees. Considerable relationships were found between NDVI and content in chlorophyll: NDVI-G and Chl a (r = 0.679), NDVI-B and Chl a (r = 0.618), and NDVI-B and Chl b (r = 0.657). The positional errors obtained varied within -0.105 to 0.166 meters for low-cost GNSS and -0.159 to 0.083 meters for geodetic GNSS, the latter recording the least MAE of 0.053. This research work found a cheap and accurate oil palm growth monitoring system using multispectral sensors. This method overcomes the technological gap of local farmers and provides an alternative strategy for the management of plantations.
引用
收藏
页码:988 / 1010
页数:23
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