Jurnal Penelitian Kelapa Sawit
Vol 25 No 2 (2017): Jurnal Penelitian Kelapa Sawit

ANALISIS KANDUNGAN HARA MAKRO DI DALAM TANAH DENGAN METODE NEAR INFRA RED (NIR)

Eka Nuryanto (Indonesian Oil Palm Research Institute)
Ellen Gouw (PT Buchi Indonesia)



Article Info

Publish Date
01 Aug 2017

Abstract

Fertilizer costs are the largest component of production costs in oil palm plantations. To obtain precise data dosage and type of fertilizer used, it is necessary to analyze the contents of macro and micronutrients in soil in oil palm plantation. Analysis of nutrients content using the conventional method is expensive and not environmentally friendly. Analysis by Near Infra Red (NIR) spectroscopyy method has several advantages such as rapid, does not require chemicals, and environmentally friendly. Soil samples used in this study were 419 samples originating from the farm of PT. Perkebunan Nusantara in North Sumatra. Nutrients contents of the soil was determined by conventional methods and is used for calibration and validation of NIR Master of Buchi. Results of soil nutrients analysis with NIR method showed that the 2 value of r for N, P, K, Mg, and Ca respectively is 0,08; 0,7; 0,5; 0,3; and 0,8. While the difference of value of analysis using conventional method and NIR for parameter N, P, K, Mg and Ca respectively is 0.012%, 8,317 ppm, 0.045 meq/100g, 0.173 meq/100g, and 2 0.936 meq/100g. Although the value of r is relatively low but the difference in the analysis results using conventional and NIR methods is also low . Thus the analysis of macro nutrient content in the soil in oil palm plantations is very possible can be done with NIR spectroscopy method.

Copyrights © 2017






Journal Info

Abbrev

jpks

Publisher

Subject

Agriculture, Biological Sciences & Forestry

Description

Indonesian Journal of Oil Palm Research Volume 26 Number 2 Year 2018 is published by presenting articles: Utilization of candlenut shell charcoal (Aleurites moluccana (L.) Willd.) as adsorben on refinery of Crude Palm Oil (CPO); Application of an Artificial Neural Network (ANN) model for predicting ...