Near-infrared hyperspectral imaging system coupled with multivariate methods to predict viability and vigor in muskmelon seeds
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- 作者：Lalit Mohan Kandpala ; lalitm85@gmail.com" class="auth_mail" title="E-mail the corresponding author ; bxc195@gmail.com" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Santosh Lohumia ; Santosh123@cnu.ac.kr" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Moon S. Kimb ; moon.kim@ars.usda.gov" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Jum-Soon Kangc ; kangjs@pusan.ac.kr" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Byoung-Kwan Choa ; chobk@cnu.ac.kr" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae
- 关键词：HSI ; hyperspectral imaging ; TZ ; tetrazolium test ; FOV ; field of view ; NIR ; near infrared ; FT-NIR ; Fourier transform-near infrared ; PLS ; partial least-square ; PLSDA ; partial least square discriminant analysis ; VIP ; variable importance in projection ; SR ; selectivity ratio ; sMC ; significance multivariate correlation ; SNV ; standard normal variate ; MSC ; multiple scatter correction ; RMSE ; root mean square error ; TP ; target projection
- 刊名：Sensors & Actuators: B. Chemical
- 出版年：2016
- 出版时间：28 June 2016
- 年：2016
- 卷：229
- 期：Complete
- 页码：534-544
- 全文大小：2443 K
文摘
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NIR-HSI technology was used for detection of viability and vigor in muskmelon seeds.
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Partial least square discriminant analysis was used to develop model.
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Variable selection methods were used for identification of optimum variables.
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Applicability of the developed analytical method for predicting germination ability of the muskmelon seed was demonstrated.