Physico-chemical data improves NIRS prediction models for drip loss in pork slices

Ampuero Kragten, Silvia; Chiesa, S.; Scheeder, Martin; Bee, G. (2015). Physico-chemical data improves NIRS prediction models for drip loss in pork slices In: FAIM IV : Fourth Annual Conference on Body and Carcass Evaluation, Meat Quality, Software and Traceability : COST ACTION 1102 (Farm Animal Imaging, FAIM) (pp. 84-87). COST (European Cooperation in Science and Technology)

[img] Text
D_21_Scheeder_M.pdf - Published Version
Restricted to registered users only
Available under License Publisher holds Copyright.

Download (1MB) | Request a copy

Item Type:

Conference or Workshop Item (Paper)

Division/Institute:

School of Agricultural, Forest and Food Sciences HAFL > Resource-efficient agricultural production systems
School of Agricultural, Forest and Food Sciences HAFL > Agriculture

Name:

Ampuero Kragten, Silvia;
Chiesa, S.;
Scheeder, Martin and
Bee, G.

Subjects:

S Agriculture > SF Animal culture

Publisher:

COST (European Cooperation in Science and Technology)

Language:

English

Submitter:

Service Account

Date Deposited:

10 Mar 2020 10:03

Last Modified:

10 Mar 2020 10:03

ARBOR DOI:

10.24451/arbor.7381

URI:

https://arbor.bfh.ch/id/eprint/7381

Actions (login required)

View Item View Item
Provide Feedback