Developments in data analysis for decision-making in precision livestock farming systems

Publication date: 20/09/2021
Extent: 34 pages

Contributions by: Elaine van Erp-van der Kooij, HAS University of Applied Sciences, The Netherlands

Chapter synopsis: This chapter focuses on supervised learning techniques such as decision trees and linear prediction models, as well as unsupervised learning techniques such as clustering. Fitting the model to data and the phenomenon of overfitting are described. For each technique, an example has been added for livestock data.

DOI: 10.19103/AS.2021.0090.06