Designing cost-effective monitoring schemes for chemical hazards in feed using machine learning

Original language	English
Qualification	Doctor of Philosophy
Awarding Institution	Wageningen University
Supervisors/Advisors	van der Fels-Klerx, Ine, Promotor Oude Lansink, Alfons, Promotor Bouzembrak, Yamine, Co-promotor
Award date	19 Dec 2022
Place of Publication	Wageningen
Publisher	Wageningen University
Print ISBNs	9789464475005
DOIs	https://doi.org/10.18174/581437
Publication status	Published - 19 Dec 2022

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• 10.18174/581437

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Projects

• 1 Finished

Projects per year

• Designing cost-effective monitoring schemes for chemical hazards in feed using machine learning

  Wang, X. (PhD candidate), Oude Lansink, A. (Promotor), van der Fels-Klerx, I. (Promotor) & Bouzembrak, Y. (Co-promotor)

  15/10/18 → 19/12/22

  Project: PhD

  • Food Safety Hazard 100%
  • Food Safety 80%
  • Dioxin 20%
  • Polychlorinated Biphenyl 20%
  • Mycotoxin 20%

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Wang, X. (2022). Designing cost-effective monitoring schemes for chemical hazards in feed using machine learning. [internal PhD, WU, Wageningen University]. Wageningen University. https://doi.org/10.18174/581437

Wang, X.. / Designing cost-effective monitoring schemes for chemical hazards in feed using machine learning. Wageningen : Wageningen University, 2022. 167 p.

@phdthesis{6a264f1cba3b42e28dab078c4c14aec9,

title = "Designing cost-effective monitoring schemes for chemical hazards in feed using machine learning",

author = "X. Wang",

year = "2022",

month = dec,

day = "19",

doi = "10.18174/581437",

language = "English",

isbn = "9789464475005",

publisher = "Wageningen University",

address = "Netherlands",

type = "internal PhD, WU",

school = "Wageningen University",

}

Wang, X 2022, 'Designing cost-effective monitoring schemes for chemical hazards in feed using machine learning', Doctor of Philosophy, Wageningen University, Wageningen. https://doi.org/10.18174/581437

Designing cost-effective monitoring schemes for chemical hazards in feed using machine learning. / Wang, X.
Wageningen: Wageningen University, 2022. 167 p.

Research output: Thesis › internal PhD, WU

TY - THES

T1 - Designing cost-effective monitoring schemes for chemical hazards in feed using machine learning

AU - Wang, X.

PY - 2022/12/19

Y1 - 2022/12/19

UR - https://edepot.wur.nl/581437

U2 - 10.18174/581437

DO - 10.18174/581437

M3 - internal PhD, WU

SN - 9789464475005

PB - Wageningen University

CY - Wageningen

ER -

Wang X. Designing cost-effective monitoring schemes for chemical hazards in feed using machine learning. Wageningen: Wageningen University, 2022. 167 p. doi: 10.18174/581437