Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
Non-Destructive Testing of Alfalfa Seed Vigor Based on Multispectral Imaging Technology
by
Mao, Peisheng
, Li, Manli
, Yi, Kun
, Wang, Zhanjun
, Yu, Hongqian
, Yang, Shuangfeng
, Zeng, Hanguo
, Zhang, Shuheng
, Ji, Wei
in
Accuracy
/ Aging
/ Agricultural production
/ Discriminant Analysis
/ Germination
/ Humidity
/ Medicago sativa
/ multispectral imaging
/ multivariate analysis
/ Plant resistance
/ seed germination
/ seed viability
/ seed vigor
/ Seeds
/ Software
/ Soybeans
/ Technology
2022
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Non-Destructive Testing of Alfalfa Seed Vigor Based on Multispectral Imaging Technology
by
Mao, Peisheng
, Li, Manli
, Yi, Kun
, Wang, Zhanjun
, Yu, Hongqian
, Yang, Shuangfeng
, Zeng, Hanguo
, Zhang, Shuheng
, Ji, Wei
in
Accuracy
/ Aging
/ Agricultural production
/ Discriminant Analysis
/ Germination
/ Humidity
/ Medicago sativa
/ multispectral imaging
/ multivariate analysis
/ Plant resistance
/ seed germination
/ seed viability
/ seed vigor
/ Seeds
/ Software
/ Soybeans
/ Technology
2022
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Non-Destructive Testing of Alfalfa Seed Vigor Based on Multispectral Imaging Technology
by
Mao, Peisheng
, Li, Manli
, Yi, Kun
, Wang, Zhanjun
, Yu, Hongqian
, Yang, Shuangfeng
, Zeng, Hanguo
, Zhang, Shuheng
, Ji, Wei
in
Accuracy
/ Aging
/ Agricultural production
/ Discriminant Analysis
/ Germination
/ Humidity
/ Medicago sativa
/ multispectral imaging
/ multivariate analysis
/ Plant resistance
/ seed germination
/ seed viability
/ seed vigor
/ Seeds
/ Software
/ Soybeans
/ Technology
2022
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Non-Destructive Testing of Alfalfa Seed Vigor Based on Multispectral Imaging Technology
Journal Article
Non-Destructive Testing of Alfalfa Seed Vigor Based on Multispectral Imaging Technology
2022
Request Book From Autostore
and Choose the Collection Method
Overview
Seed vigor is an important index to evaluate seed quality in plant species. How to evaluate seed vigor quickly and accurately has always been a serious problem in the seed research field. As a new physical testing method, multispectral technology has many advantages such as high sensitivity and accuracy, nondestructive and rapid application having advantageous prospects in seed quality evaluation. In this study, the morphological and spectral information of 19 wavelengths (365, 405, 430, 450, 470, 490, 515, 540, 570, 590, 630, 645, 660, 690, 780, 850, 880, 940, 970 nm) of alfalfa seeds with different level of maturity and different harvest periods (years), representing different vigor levels and age of seed, were collected by using multispectral imaging. Five multivariate analysis methods including principal component analysis (PCA), linear discriminant analysis (LDA), support vector machine (SVM), random forest (RF) and normalized canonical discriminant analysis (nCDA) were used to distinguish and predict their vigor. The results showed that LDA model had the best effect, with an average accuracy of 92.9% for seed samples of different maturity and 97.8% for seed samples of different harvest years, and the average sensitivity, specificity and precision of LDA model could reach more than 90%. The average accuracy of nCDA in identifying dead seeds with no vigor reached 93.3%. In identifying the seeds with high vigor and predicting the germination percentage of alfalfa seeds, it could reach 95.7%. In summary, the use of Multispectral Imaging and multivariate analysis in this experiment can accurately evaluate and predict the seed vigor, seed viability and seed germination percentages of alfalfa, providing important technical methods and ideas for rapid non-destructive testing of seed quality.
Publisher
MDPI AG,MDPI
Subject
This website uses cookies to ensure you get the best experience on our website.