235
Views
15
CrossRef citations to date
0
Altmetric
Meat and Egg Science

Identification of eggs from different production systems based on hyperspectra and CS-SVM

, , , , &
Pages 256-261 | Received 13 Jun 2016, Accepted 19 Nov 2016, Published online: 21 Feb 2017

Keep up to date with the latest research on this topic with citation updates for this article.

Read on this site (1)

Y. Zhang, Y. Ge, Y. Guo, H. Miao & S. Zhang. (2023) An approach for goose egg recognition for robot picking based on deep learning. British Poultry Science 64:3, pages 343-356.
Read now

Articles from other publishers (14)

Yeqiong Liu, Shangzhong Jin, Abuduaini Alimu, Li Jiang & Huaizhou Jin. (2024) Nondestructive detection of egg freshness based on a decision-level fusion method using hyperspectral imaging technology. Journal of Food Measurement and Characterization.
Crossref
Md Wadud Ahmed, Sahir Junaid Hossainy, Alin Khaliduzzaman, Jason Lee Emmert & Mohammed Kamruzzaman. (2023) Non‐destructive optical sensing technologies for advancing the egg industry toward Industry 4.0: A review. Comprehensive Reviews in Food Science and Food Safety 22:6, pages 4378-4403.
Crossref
Qingxu Li, Wanhuai Zhou, Qiaohua Wang & Dandan Fu. (2023) Research on Online Nondestructive Detection Technology of Duck Egg Origin Based on Visible/Near-Infrared Spectroscopy. Foods 12:9, pages 1900.
Crossref
Shuhui Ren & Yunfang Jia. (2023) Near-Infrared data classification at phone terminal based on the combination of PCA and CS-RBFSVC algorithms. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 287, pages 122080.
Crossref
Lvhui Fu, Jun Sun, Simin Wang, Min Xu, Kunshan Yao, Yan Cao & Ningqiu Tang. (2022) Identification of maize seed varieties based on stacked sparse autoencoder and near‐infrared hyperspectral imaging technology. Journal of Food Process Engineering 45:9.
Crossref
Kunshan Yao, Jun Sun, Lin Zhang, Xin Zhou, Yan Tian, Ningqiu Tang & Xiaohong Wu. (2021) Nondestructive detection for egg freshness based on hyperspectral imaging technology combined with harris hawks optimization support vector regression. Journal of Food Safety 41:3.
Crossref
Adria Nirere, Jun Sun, Xin Zhou, Kunshan Yao, Ningqiu Tang & Ahmad Hussain. (2021) Identification of living and non-living watermelon seeds based on Hyperspectral Imaging Technology. Identification of living and non-living watermelon seeds based on Hyperspectral Imaging Technology.
Ningqiu Tang, Jun Sun, Kunshan Yao, Xin Zhou, Yan Tian, Yan Cao & Adria Nirere. (2020) Identification of Lycium barbarum varieties based on hyperspectral imaging technique and competitive adaptive reweighted sampling ‐ whale optimization algorithm ‐ support vector machine . Journal of Food Process Engineering 44:1.
Crossref
Binhui Zhang, Song Gao, Fei Jia, Xue Liu & Xingmin Li. (2020) Categorization and authentication of Beijing‐you chicken from four breeds of chickens using near‐infrared hyperspectral imaging combined with chemometrics. Journal of Food Process Engineering 43:12.
Crossref
Yan Tian, Jun Sun, Xin Zhou, Xiaohong Wu, Bing Lu & Chunxia Dai. (2020) Research on apple origin classification based on variable iterative space shrinkage approach with stepwise regression – support vector machine algorithm and visible‐near infrared hyperspectral imaging . Journal of Food Process Engineering 43:8.
Crossref
Kunshan Yao, Jun Sun, Xin Zhou, Adria Nirere, Yan Tian & Xiaohong Wu. (2020) Nondestructive detection for egg freshness grade based on hyperspectral imaging technology. Journal of Food Process Engineering 43:7.
Crossref
Beibei Jia, Wei Wang, Xinzhi Ni, Kurt C. Lawrence, Hong Zhuang, Seung-Chul Yoon & Zhixian Gao. (2020) Essential processing methods of hyperspectral images of agricultural and food products. Chemometrics and Intelligent Laboratory Systems 198, pages 103936.
Crossref
Yating Li, Jun Sun, Xiaohong Wu, Quansheng Chen, Bing Lu & Chunxia Dai. (2019) Detection of viability of soybean seed based on fluorescence hyperspectra and CARS‐SVM‐AdaBoost model. Journal of Food Processing and Preservation 43:12.
Crossref
Sun Jun, Li Yating, Wu Xiaohong, Dai Chunxia & Chen Yong. (2018) SSC prediction of cherry tomatoes based on IRIV‐CS‐SVR model and near infrared reflectance spectroscopy. Journal of Food Process Engineering 41:8.
Crossref

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.