Estimation of Calcium, Magnesium and Sulfur Content in Oil Palm using Multispectral Imagery based UAV

Muyassar Suyuthi, Kudang Seminar, Sudradjat

2019

Abstract

Oil palm is a commodity which contributes to the largest foreign exchange. In Indonesia, the area of oil palm plantations has a large area compared to other commodities. Proper and efficient fertilization is needed to reduce production costs. This study aims to estimate the nutrient content of calcium, magnesium, and sulfur in oil palm plants using UAV-based multispectral cameras. The method used is divided into three stages, data preparation, pre-processing, and data analysis. At the data preparation stage, the things done are leaf sampling, sample coordinate points, and multispectral image capture. In the pre-data processing stage the things done are stitching, georeferencing, and digitizing. The last stage is data analysis like multiple linear regression analysis to get a model of the relationship of multispectral images and actual nutrition of lab test results. The results of this study obtained a model for predicting of calcium content Ca = 0.994+0.00723*GREEN-0.00863*RED EDGE, for magnesium content is Mg = 0.693+0.00531*RED-0.00541*RED EDGE, and for sulfur content is S = -0.222+0.00338*RED EDGE. The results of overall accuracy using a confusion matrix of 66.7% in the calcium model, 63.3% in the magnesium model, and 36.6% in the sulfur model.

Paper Citation

in Harvard Style

Suyuthi M., Seminar K. and Sudradjat. (2019). Estimation of Calcium, Magnesium and Sulfur Content in Oil Palm using Multispectral Imagery based UAV. In Proceedings of the 2nd SEAFAST International Seminar - Volume 1: 2nd SIS, ISBN 978-989-758-466-4, pages 127-134. DOI: 10.5220/0009978700002833

in Bibtex Style

@conference{2nd sis19,
author={Muyassar Suyuthi and Kudang Seminar and Sudradjat},
title={Estimation of Calcium, Magnesium and Sulfur Content in Oil Palm using Multispectral Imagery based UAV},
booktitle={Proceedings of the 2nd SEAFAST International Seminar - Volume 1: 2nd SIS,},
year={2019},
pages={127-134},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009978700002833},
isbn={978-989-758-466-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd SEAFAST International Seminar - Volume 1: 2nd SIS,
TI - Estimation of Calcium, Magnesium and Sulfur Content in Oil Palm using Multispectral Imagery based UAV
SN - 978-989-758-466-4
AU - Suyuthi M.
AU - Seminar K.
AU - Sudradjat.
PY - 2019
SP - 127
EP - 134
DO - 10.5220/0009978700002833