ログイン
言語:

WEKO3

  • トップ
  • ランキング
To
lat lon distance
To

Field does not validate



インデックスリンク

インデックスツリー

メールアドレスを入力してください。

WEKO

One fine body…

WEKO

One fine body…

アイテム

  1. 1:大学
  2. 1.農食環境学群
  3. 1.循環農学類
  4. 学術論文(雑誌)

Near-infrared spectroscopic sensing system for on-line milk quality assessment in a milking robot

http://hdl.handle.net/10659/1706
http://hdl.handle.net/10659/1706
7b974fef-d5ce-4fed-b33c-7a1010c20fcf
名前 / ファイル ライセンス アクション
S-394_Morita.pdf S-394_Morita.pdf (314.4 kB)
Item type 学術雑誌論文 / Journal Article(1)
公開日 2011-03-31
タイトル
タイトル Near-infrared spectroscopic sensing system for on-line milk quality assessment in a milking robot
言語
言語 eng
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_6501
資源タイプ journal article
著者 Kawasaki, Masataka

× Kawasaki, Masataka

WEKO 1334

Kawasaki, Masataka

Search repository
Kawamura, Shuso

× Kawamura, Shuso

WEKO 1335

Kawamura, Shuso

Search repository
Tsukahara, Maki

× Tsukahara, Maki

WEKO 1336

Tsukahara, Maki

Search repository
Morita, Shigeru

× Morita, Shigeru

WEKO 1337

Morita, Shigeru

Search repository
Komiya, Michio

× Komiya, Michio

WEKO 1338

Komiya, Michio

Search repository
Natsuga, Motoyasu

× Natsuga, Motoyasu

WEKO 1339

Natsuga, Motoyasu

Search repository
抄録
内容記述タイプ Abstract
内容記述 A near-infrared (NIR) spectroscopic sensing system was constructed on an experimental basis. This system enabled NIR spectra of raw milk to be obtained in an automatic milking system (milking robot system) over a wavelength range of 600–1050 nm. Calibration models for determining three major milk constituents (fat, protein and lactose), somatic cell count (SCC) and milk urea nitrogen (MUN) of unhomogenized milk were developed, and the precision and accuracy of the models were validated. The coefficient of determination (r^2) and standard error of prediction (SEP) of the validation set for fat were 0.95 and 0.25%, respectively. The values of r^2 and SEP for lactose were 0.83 and 0.26%, those for protein were 0.72 and 0.15%, those for SCC were 0.68 and 0.28 log SCC/mL, and those for MUN were 0.53 and 1.50 mg/dL, respectively. These results indicate that the NIR spectroscopic system can be used to assess milk quality in real-time in an automatic milking system. The system can provide dairy farmers with information on milk quality and physiological condition of an individual cow and, therefore, give them feedback control for optimizing dairy farm management. By using the system, dairy farmers will be able to produce high-quality milk and precision dairy farming will be realized.
書誌情報 Computers and Electronics in Agriculture

巻 63, 号 1, p. 22-27, 発行日 2008-08
ISSN
収録物識別子タイプ ISSN
収録物識別子 0168-1699
DOI
関連タイプ isVersionOf
識別子タイプ DOI
関連識別子 10.1016/j.compag.2008.01.006
権利(URI)
権利情報 http://dx.doi.org/10.1016/j.compag.2008.01.006 | http://dx.doi.org/10.1016/j.compag.2008.01.006
著者版フラグ
出版タイプ AM
出版タイプResource http://purl.org/coar/version/c_ab4af688f83e57aa
その他のタイトル
その他のタイトル Near-infrared spectroscopic sensing system for online milk quality assessment in a milking robot
出版者
出版者 Elsevier
資源タイプ
内容記述タイプ Other
内容記述 Article
戻る
0
views
See details
Views

Versions

Ver.1 2023-06-19 09:21:05.608049
Show All versions

Share

Mendeley Twitter Facebook Print Addthis

Cite as

エクスポート

OAI-PMH
  • OAI-PMH JPCOAR 2.0
  • OAI-PMH JPCOAR 1.0
  • OAI-PMH DublinCore
  • OAI-PMH DDI
Other Formats
  • JSON
  • BIBTEX

Confirm


Powered by WEKO3


Powered by WEKO3