Rapid Measurement of Soybean Seed Viability Using Kernel-Based Multispectral Image Analysis

Rapid Measurement of Soybean Seed Viability Using Kernel-Based Multispectral Image Analysis

Viability is an important quality factor influencing seed germination and crop yield. Current seed-viability testing methods rely on conventional manual inspections, which use destructive, labor-intensive and time-consuming measurements. The aim of this study is to distinguish between viable and non...

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Bibliographic Details
Main Authors: Insuck Baek, Dewi Kusumaningrum, Lalit Mohan Kandpal, Santosh Lohumi, Changyeun Mo, Moon S. Kim, Byoung-Kwan Cho
Format: Article
Language:English
Published: MDPI AG 2019-01-01
Series:Sensors
Subjects:
seed viability
near-infrared
multispectral imaging
variable importance in projection
kernel-based classification
Online Access:http://www.mdpi.com/1424-8220/19/2/271

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