Lightweight deep learning enhances sow farrowing supervision

26-06-2023 | |
Lightweight deep learning
35 sows in the perinatal period and their piglets were selected for this trial. Foto: Bert Jansen
Researchers from China evaluated a lightweight deep learning-based approach for supervision of sow behaviour preceding and during farrowing. Sow farrowing requires supervision to accurately detect issues such as dystocia, piglet suffocation, and excessively low temperatures. Early detection of farrowing problems and proper interventions increase the average number of live born piglets per sow per year. They also the improve piglets’ health and performance. Manual inspection is time-consumin


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Redacteur 1

Vincent
ter Beek

Redacteur 2

Kees van
Dooren

Redacteur 3

Treena
Hein

Azarpajouh
Samaneh Azarpajouh Author, veterinarian
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