Project

AI in dier- en landsystemen

Artificial Intelligence (AI) is een nieuwe, veelbelovende technologie waarmee kennis uit data verkregen kan worden. WUR zoekt naar toepassingen van AI om vraagstukken binnen de domeinen AgriFood, milieu en maatschappij beter te kunnen beantwoorden.

Project

Om beter inzicht te krijgen in toepassing van AI in de domeinen AgriFood, milieu en maatschappij heeft WUR een project in het Kennisbasisthema Data Driven & High Tech. In dit project wordt in negen use cases bestudeerd hoe verschillende AI methoden het beste toegepast kunnen worden. Het project loopt van 2019 tot en met 2022.

Publicaties

Big Data analytics in the animal production domain

Kamphuis, C. , Mollenhorst, H. , Veerkamp, R.F. (2019)
Machine learning to realize phosphate equilibrium at field level in dairy farming

Mollenhorst, H. , De Haan, M.H.A. , Oenema, J. , Hoving-Bolink, A.H. , Veerkamp, R.F. , Kamphuis, C. (2019) In: Precision Livestock Farming 2019 - Teagasc - ISBN: 9781841706542 - p. 41-44.
Boosted trees to predict pneumonia, growth, and meat percentage of growing-finishing pigs

Mollenhorst, Herman , Ducro, Bart J. , de Greef, Karel H. , Hulsegge, Ina , Kamphuis, Claudia (2019) Journal of Animal Science (2019), Volume: 97, Issue: 10 - ISSN 0021-8812 - p. 4152-4159.
Deep learning approach to classify false and true positive chromosomal translocations

Hulsegge, Ina , Bouwman, Aniek , Veerkamp, Roel , Kamphuis, Claudia (2020)
Predicting Nitrogen Excretion of Dairy Cattle with Machine Learning

Mollenhorst, Herman , Bouzembrak, Yamine , de Haan, Michel , Marvin, Hans J.P. , Veerkamp, Roel F. , Kamphuis, Claudia (2020) In: International Symposium on Environmental Software Systems (ISESS 2020) - Wageningen: Springer - ISBN: 9783030398149 - p. 132-138.
Field and crop specific manure application on a dairy farm based on historical data and machine learning

Mollenhorst, Herman , de Haan, Michel H.A. , Oenema, Jouke , Kamphuis, Claudia (2020) Computers and Electronics in Agriculture (2020), Volume: 175 - ISSN 0168-1699
Big Data & Artificial Intelligence in dairy science

Kamphuis, C. (2020)
Young EAAP session Coding conduct and version control - basis for non-programmers

Wallgren, T. , Pszcszola, M. , Adriaens, I. (2021)
Detection of duration of lying down and standing up behaviour via machine learning

Adriaens, I. , Ouweltjes, W. , Hulsegge, B. , Kamphuis, C. (2021)
Animal Tracking and Annotation

Xue-Hijmans, Yuuko (2021)

Projectleider dr.ir. C (Corné) Kempenaar

Contact

project_info_label

AI in animal and arable systems

Projectcode:: KB-38-001-002
Status:: Afgerond
Start project:: 1-jan-2019
Einde project:: 31-dec-2023

Financier / Opdrachtgever:: Ministerie van LNV

Partners:

Wageningen University & Research

Project

Publicaties

Big Data analytics in the animal production domain

Machine learning to realize phosphate equilibrium at field level in dairy farming

Boosted trees to predict pneumonia, growth, and meat percentage of growing-finishing pigs

Deep learning approach to classify false and true positive chromosomal translocations

Predicting Nitrogen Excretion of Dairy Cattle with Machine Learning

Field and crop specific manure application on a dairy farm based on historical data and machine learning

Big Data & Artificial Intelligence in dairy science

Young EAAP session Coding conduct and version control - basis for non-programmers

Detection of duration of lying down and standing up behaviour via machine learning

Animal Tracking and Annotation