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

被引：0
|
作者：
Andrianto, Heri [1 ]
Suhardi [1 ]
Faizal, Ahmad [2 ]
机构：
[1] Inst Teknol Bandung, Sch Elect Engn & Informat, Bandung 40132, West Java, Indonesia
[2] Inst Teknol Bandung, Sch Life Sci & Technol, Bandung 40132, West Java, Indonesia
来源：
2018 INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY SYSTEMS AND INNOVATION (ICITSI) | 2018年
关键词：
chlorophyll meter; meta-analysis; leaf level; spectral properties; NONDESTRUCTIVE METHOD; NITROGEN STATUS; EXTRACTABLE CHLOROPHYLL; METER; LEAVES; READINGS; SORGHUM; VALUES; SENSOR; YIELD;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：364 / 369
页数：6
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