@inproceedings{5a59cb59ef70408fb53585e3c91aaf21,
title = "Quality Inspection of Phalaenopsis Hybrids Using Hyperspectral Band Selection Techniques",
abstract = "Fusarium wilt on Phalaenopsis is a disease that makes farmers suffer seriously. Although Phalaenopsis does not die immediately with Fusarium wilt, it seriously decreases the quality that buyers cannot accept. In this paper, we introduce an emerging method to detect Fusarium wilt at the base of Phalaenopsis stems. The detection model divides Phalaenopsis samples into two categories, healthy and infection. The band selection (BS) processing technique based on band prioritization (BP) is applied to extract significant bands and eliminate redundant bands. Subsequently, some algorithms which are constrained energy minimization (CEM), spectral information divergence(SID) and SeQuential N-FINDER to detect the Fusarium wilt, and we hope the research would help farmers decrease their losses.",
author = "Ouyang, {Yen Chieh} and Chen, {Bo Han} and Lee, {Meng Chueh} and Liu, {Tsang Sen} and Mang Ou-Yang and Chen, {Hsian Min} and Wu, {Chao Cheng} and Wen, {Chia Hsien} and Shih, {Min Shao} and Chang, {Chein I.} and Yan, {Yung Jhe}",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 ; Conference date: 28-07-2019 Through 02-08-2019",
year = "2019",
month = jul,
doi = "10.1109/IGARSS.2019.8898775",
language = "English",
series = "International Geoscience and Remote Sensing Symposium (IGARSS)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2201--2204",
booktitle = "2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings",
address = "United States",
}