Detection of Chlorophyll Content Based on Spectral Properties at Leaf Level: A Meta-Analysis

Andrianto, Heri and Suhardi, Suhardi and Faizal, Ahmad (2018) Detection of Chlorophyll Content Based on Spectral Properties at Leaf Level: A Meta-Analysis. In: 2018 International Conference on Information Technology Systems and Innovation (ICITSI), October 22-25, 2018, Bandung, Padang.

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In accordance to agriculture 4.0, sensor plays an important role for sensing the nutrition status in plants. Generally, chlorophyll meter or spectral sensor is used to measure chlorophyll content to identify plant nutrient deficiencies. The objective of this paper is to obtain correlation coefficient value that indicate the relationship or correlation among chlorophyll measurement using spectrophotometer, chlorophyll meter, and spectral sensor. Here, we thoroughly focus on a meta-analysis of the chlorophyll measurement using 42 papers as a main study. Nevertheless, 12 studies were ejected because of incomplete statistical information. Finally, 5 articles were used in a meta-analysis. The results showed significant correlations among spectrophotometer values, SPAD-502 values, CCM-200 values, atLeaf+ values, and TCS230 sensor values

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: chlorophyll meter, meta-analysis, leaf level, spectral properties
Subjects: T Technology > T Technology (General)
Depositing User: Perpustakaan Maranatha
Date Deposited: 03 May 2019 00:21
Last Modified: 03 May 2019 00:21

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