Machine learning project at our institute contributes analysis method to precision agriculture
Research published in the Journal of Animal Science has shown analysis method can accurately use phenotype and gene data to predict the age at which pigs will be ready for slaughter. A recent study by Ahmad Alsahaf, George Azzopardi, Bart Ducro, Egiel Hanenberg, Roel F Veerkamp and Nicolai Petkov examining the accuracy of phenotypic and genetic data in predicting slaughter age was prompted by the fact that correctly forecasting the growth of pigs can help determine things like feed costs and pen space requirements. Growth-rate predictions could also be used in other ways – for example, to identify which growth-rate factors might be more important than others.
| Last modified: | 11 June 2019 1.47 p.m. |
More news
-
11 July 2019
Major companies’ annual reports too vague about climate impact
Many major Dutch companies publish extensive information about climate impact in their annual reports. However, very few companies provide concrete, detailed information about their own CO2 emissions, the impact of climate change on their business...
-
08 July 2019
UG permanently closes Yantai project
The University of Groningen (UG) has permanently closed the project aimed at creating a branch campus in Yantai. Discussions were held with China Agricultural University, the city of Yantai and the Province of Shandong.
-
03 July 2019
Cheap train tickets boost public transport use but reduce customer satisfaction
Offers of cheap single train tickets through retailers such as Kruidvat or Etos have a positive impact on the number of kilometres travelled by rail. This impact is much bigger than that of more general TV, newspaper or magazine advertising. However,...