東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Non-Destructive Detection of Woody B...

Cai, Jiaxu,

FindBook

Google Book

Amazon

博客來

Non-Destructive Detection of Woody Breast Myopathy in Broiler Breast Fillets by Emerging Optical Imaging Technologies /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Non-Destructive Detection of Woody Breast Myopathy in Broiler Breast Fillets by Emerging Optical Imaging Technologies // Jiaxu Cai.
作者:	Cai, Jiaxu,
面頁冊數:	1 electronic resource (88 pages)
附註:	Source: Masters Abstracts International, Volume: 86-06.
Contained By:	Masters Abstracts International86-06.
標題:	Agricultural engineering. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31640080
ISBN:	9798346850366

Non-Destructive Detection of Woody Breast Myopathy in Broiler Breast Fillets by Emerging Optical Imaging Technologies /
Cai, Jiaxu,

Non-Destructive Detection of Woody Breast Myopathy in Broiler Breast Fillets by Emerging Optical Imaging Technologies /Jiaxu Cai. - 1 electronic resource (88 pages)

Source: Masters Abstracts International, Volume: 86-06.

Woody breast (WB), one of the major muscular myopathies in poultry, impairs the quality and marketability of poultry products, leading to significant economic losses for poultry industries worldwide due to product downgrading and consumer complaints. WB-affected broiler breast fillets are characterized by abnormal tissue hardness, muscle rigidity, and irregular shape profiles. Manual evaluation based on tactile palpation and visual examination is the current practice for WB assessment at poultry processing facilities, but it is subjective, labor-intensive, and may cause contamination or safety concerns due to physical contact for evaluation. This thesis aimed to investigate the applicability of two emerging optical imaging technologies, i.e., 1) light scattering imaging (LSI) and 2) sinusoidal illumination reflectance imaging (SIRI), under both broadband and multispectral modes, for assessing WB myopathy in broiler breast fillets. The corresponding broadband and multispectral images were collected using custom-assembled imaging platforms from broiler meat samples of varying WB conditions, respectively. Different types of features were extracted from the resultant images (i.e., scattering images and demodulated SIRI images) and then utilized for discriminant modeling to classify samples into two [i.e., "Normal (no WB)" and "Defective"] and three [i.e., "Normal (no WB)", "Moderate", "Severe"] categories according to WB conditions. Two imaging technologies, i.e., LSI and SIRI, implemented in both broadband and multispectral modes have shown promising potential for the detection of WB defects in broiler breast fillets. More research is needed to further enhance the performance of WB assessment.

English

ISBN: 9798346850366Subjects--Topical Terms:

3168406
Agricultural engineering.
Subjects--Index Terms:

Poultry products

Non-Destructive Detection of Woody Breast Myopathy in Broiler Breast Fillets by Emerging Optical Imaging Technologies /
LDR:03225nmm a22004573i 4500 001 2435640
005 20251009122857.5
006 m o d
007 cr|nu||||||||
008 261011s2024 miu||||||m |||||||eng d
020 $a 9798346850366
035 $a (MiAaPQD)AAI31640080
035 $a AAI31640080
040 $a MiAaPQD $b eng $c MiAaPQD $e rda
100 1 $a Cai, Jiaxu, $e author. $0 (orcid)0000-0002-8080-1902 $3 3826009
245 1 0 $a Non-Destructive Detection of Woody Breast Myopathy in Broiler Breast Fillets by Emerging Optical Imaging Technologies / $c Jiaxu Cai.
264 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2024
300 $a 1 electronic resource (88 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Masters Abstracts International, Volume: 86-06.
500 $a Advisors: Lu, Yuzhen Committee members: Lu, Renfu; Morris, Daniel; Zhang, Xue.
502 $b M.S. $c Michigan State University $d 2024.
520 $a Woody breast (WB), one of the major muscular myopathies in poultry, impairs the quality and marketability of poultry products, leading to significant economic losses for poultry industries worldwide due to product downgrading and consumer complaints. WB-affected broiler breast fillets are characterized by abnormal tissue hardness, muscle rigidity, and irregular shape profiles. Manual evaluation based on tactile palpation and visual examination is the current practice for WB assessment at poultry processing facilities, but it is subjective, labor-intensive, and may cause contamination or safety concerns due to physical contact for evaluation. This thesis aimed to investigate the applicability of two emerging optical imaging technologies, i.e., 1) light scattering imaging (LSI) and 2) sinusoidal illumination reflectance imaging (SIRI), under both broadband and multispectral modes, for assessing WB myopathy in broiler breast fillets. The corresponding broadband and multispectral images were collected using custom-assembled imaging platforms from broiler meat samples of varying WB conditions, respectively. Different types of features were extracted from the resultant images (i.e., scattering images and demodulated SIRI images) and then utilized for discriminant modeling to classify samples into two [i.e., "Normal (no WB)" and "Defective"] and three [i.e., "Normal (no WB)", "Moderate", "Severe"] categories according to WB conditions. Two imaging technologies, i.e., LSI and SIRI, implemented in both broadband and multispectral modes have shown promising potential for the detection of WB defects in broiler breast fillets. More research is needed to further enhance the performance of WB assessment.
546 $a English
590 $a School code: 0128
650 4 $a Agricultural engineering. $3 3168406
650 4 $a Agriculture. $3 518588
650 4 $a Food science. $3 3173303
650 4 $a Animal sciences. $3 3174829
650 4 $a Bioengineering. $3 657580
653 $a Poultry products
653 $a Marketability
653 $a Woody breast
653 $a Multispectral images
653 $a Sinusoidal illumination reflectance imaging
690 $a 0539
690 $a 0202
690 $a 0475
690 $a 0359
690 $a 0473
710 2 $a Michigan State University. $b Biosystems Engineering - Master of Science. $e degree granting institution. $3 3826010
720 1 $a Lu, Yuzhen $e degree supervisor.
773 0 $t Masters Abstracts International $g 86-06.
790 $a 0128
791 $a M.S.
792 $a 2024
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31640080