Author

M. Pastell

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Animal Behavior & Cognition· 3 Bioengineering· 1

Signature Assays, Organisms & Methods

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Organism:chicken / avian· 3 Approach:statistical model· 3 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:imaging· 1 Assay:metabolomics· 1

Frequent Co-Authors

L. Frondelius· 3 shared B. Aernouts· 1 shared C. Arcidiacono· 1 shared I. Adriaens· 1 shared J. Backman· 1 shared J. D. Olivares· 1 shared M. Jarvinen· 1 shared M. Lidauer· 1 shared

Activity by Year

2017-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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3 shared papersAnimal Behavior & Cognition

L. Frondelius

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Author profile →

4 papers

Recent·Most cited

CNN and transfer learning-based classification model for automated cows feeding behaviour recognition from accelerometer data

V. Bloch, L. Frondelius, C. Arcidiacono, M. Mancino, M. Pastell

This paper develops a CNN-based classifier for cow feeding behavior using accelerometer data, showing transfer learning improves accuracy and estimating dataset size requirements.

bioRxiv · Jul 3, 2022 · PreprintAnimal Behavior & Cognition

Mid-Infrared Spectroscopic Analysis of Raw Milk to Predict the Blood Plasma Non-Esterified Fatty Acid Concentration in Dairy Cows

B. Aernouts, I. Adriaens, J. D. Olivares, W. Saeys, P. Mäntysaari, T. Kokkonen, T. Mehtiö, S. Kajava, P. Lidauer, M. Lidauer, M. Pastell

This paper develops a model to predict blood plasma NEFA concentration in dairy cows using mid-infrared milk spectra, showing accurate predictions below 0.6 mmol/L but underestimation above 1.2 mmol/L.

bioRxiv · Nov 25, 2019Bioengineering

A Hidden Markov Model to Estimate the Time Dairy Cows Spend in Feeder Based on Indoor Positioning Data

M. Pastell, L. Frondelius

This paper develops a Hidden Markov Model to estimate dairy cow feeding time using indoor positioning data, achieving high accuracy in detecting feeding states.

bioRxiv · Jun 29, 2018Animal Behavior & Cognition

Filtering Methods to Improve the Accuracy of Indoor Positioning Data for Dairy Cows

M. Pastell, L. Frondelius, M. Jarvinen, J. Backman

This study develops and tests filters to improve indoor positioning data accuracy for dairy cows using UWB-based systems in a free stall barn.

bioRxiv · Sep 11, 2017Animal Behavior & Cognition