Corrigendum to “A predictive model for hypocalcaemia in dairy cows utilizing behavioural sensor data combined with deep learning” [Comput. Electron. Agric. 220 (2024) 108877] (Computers and Electronics in Agriculture (2024) 220, (S0168169924002680), (10.1016/j.compag.2024.108877))
Publication date
2025-02
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Abstract
The authors regret making a textual mistake in our manuscript. Section 3.2 last sentence states: ''Rumination had limited differences between normocalcaemic and hypocalcaemic cows, except for the 5 days before calving, when the hypocalcaemic cows spent more minutes ruminating.'' The hypocalcemic cows ruminate less in the 5 day period before calving, as is visualised in the appendix. The word more should therefore be less. On top of this, the first highlight says: ''The behavioural patterns of the 21 days before calving contains valuable information for the prediction of hypocalcemia after parturition.'' Contains should be without an s, so contain to be grammatical correct. The authors would like to apologise for any inconvenience caused.
Keywords
Forestry, Agronomy and Crop Science, Computer Science Applications, Horticulture
Citation
van Leerdam, M, Hut, P R, Liseune, A, Slavco, E, Hulsen, J & Hostens, M 2025, 'Corrigendum to “A predictive model for hypocalcaemia in dairy cows utilizing behavioural sensor data combined with deep learning” [Comput. Electron. Agric. 220 (2024) 108877] (Computers and Electronics in Agriculture (2024) 220, (S0168169924002680), (10.1016/j.compag.2024.108877))', Computers and Electronics in Agriculture, vol. 229, 109785. https://doi.org/10.1016/j.compag.2024.109785