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Lactation curve model with explicit representation of perturbations as a phenotyping tool for dairy livestock precision farming.
Ben Abdelkrim Ahmed, Puillet Laurence, Gomes Pierre, Martin Olivier

Recommended by Luis Tedeschi based on reviews by Alberto Atzori, Jennifer Spencer and 1 anonymous reviewer
Developing smart fitting algorithms to identify random perturbations in time-series data

The ability to adequately characterize the lactation curve of livestock is important not only to ensure proper nutrition of the lactating animal but, among many other benefits, it can assist in diagnosing the incidence of diseases, predicting the quantity of milk production, and comparing animals within the herd for managerial strategies such as culling. Eventually, such smart fitting algorithms can lead to improved genetic selection of more productive animals after genetic-unrelated noises are ...