<i>Variety classification of maize kernels using near infrared (NIR) hyperspectral imaging</i>

2017 ◽  
Author(s):  
Xin Zhao ◽  
Wei Wang ◽  
Xuan Chu ◽  
Hongzhe Jiang ◽  
Beibei Jia ◽  
...  
RSC Advances ◽  
2018 ◽  
Vol 8 (3) ◽  
pp. 1337-1345 ◽  
Author(s):  
Yiying Zhao ◽  
Susu Zhu ◽  
Chu Zhang ◽  
Xuping Feng ◽  
Lei Feng ◽  
...  

Hyperspectral imaging provides an effective way for seed variety classification for assessing variety purity and increasing crop yield.


2019 ◽  
Vol 296 ◽  
pp. 126630 ◽  
Author(s):  
Pengcheng Nie ◽  
Jinnuo Zhang ◽  
Xuping Feng ◽  
Chenliang Yu ◽  
Yong He

2016 ◽  
Vol 209 ◽  
pp. 131-138 ◽  
Author(s):  
Paul J. Williams ◽  
Sergey Kucheryavskiy

2016 ◽  
Vol 8 (48) ◽  
pp. 8498-8505 ◽  
Author(s):  
Sófacles Figueredo Carreiro Soares ◽  
Everaldo Paulo Medeiros ◽  
Celio Pasquini ◽  
Camilo de Lelis Morello ◽  
Roberto Kawakami Harrop Galvão ◽  
...  

This paper proposes the use of Near Infrared Hyperspectral Imaging (NIR-HSI) as a new strategy for fast and non-destructive classification of cotton seeds with respect to variety.


Meat Science ◽  
2012 ◽  
Vol 90 (1) ◽  
pp. 259-268 ◽  
Author(s):  
Douglas Barbin ◽  
Gamal Elmasry ◽  
Da-Wen Sun ◽  
Paul Allen

2021 ◽  
Author(s):  
Simone Simões ◽  
Priscilla Rocha ◽  
Everaldo Paulo Medeiros ◽  
Carolina Silva

Hyperspectral images have been increasingly employed in the agricultural sector for seed classification for different purposes. In the present paper we propose a new methodology based in HSI in the...


2018 ◽  
Author(s):  
Beibei Jia ◽  
Wei Wang ◽  
Seung-Chul Yoon ◽  
Hong Zhuang ◽  
Yi Yang ◽  
...  

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