Ines Adriaens
Association Katholieke Universiteit Leuven
https://www.kuleuven.be/wieiswie/nl/person/00084712
https://github.com/iadriaens
http://lirias.kuleuven.be/cv?Username=U0084712
http://orcid.org/0000-0001-9768-2308
PERSONAL INFORMATION Name Ines Adriaens E-mail ines.adriaens@kuleuven.be PUBLICATIONS & SCIENTIFIC OUTPUT A1 JOURNAL ARTICLES 1. Adriaens I., Martin O., Saeys W., De Ketelaere B., Friggens N.C., Aernouts B. (2019). Validation of a novel milk progesterone-based tool to monitor luteolysis in dairy cows. Timing of the alerts and robustness against missing values. . JOURNAL OF DAIRY SCIENCE, doi:doi.org/10.1101/526095 2. Adriaens I., Saeys, W. Geerinckx K., De Ketelaere B., Aernouts B. (2019). Short communication: Validation of a novel milk progesterone based tool to monitor luteolysis in dairy cows. Performance on cost-effective, on-farm measured data. JOURNAL OF DAIRY SCIENCE, doi:doi.org/10.1101/526061 3. Adriaens I., Saeys W., Lamberigts C., Berth M., Geerinckx K., Leroy J., De Ketelaere B., Aernouts B. (2018). Short communication: Sensitivity of estrus alerts and relationship with timing of the luteinizing hormone surge. JOURNAL OF DAIRY SCIENCE, 102 (2), 1775-1779. doi:10.3168/jds.2018-15514 4. Adriaens I., Huybrechts T., Aernouts B., Geerinckx K., Piepers S., De Ketelaere B., Saeys W. (2018). Method for short-term prediction of milk yield at the quarter level to improve udder health monitoring. JOURNAL OF DAIRY SCIENCE. 101 (11), 10327-10336, doi:10.3168/jds.2018-14696 5. Adriaens I., Saeys W., Huybrechts T., Lamberigts C., François L., Geerinckx K., Leroy J., De Ketelaere B., Aernouts B. (2018). A novel system for on-farm fertility monitoring based on milk progesterone. JOURNAL OF DAIRY SCIENCE, 101(9), 8369-8382. doi:10.3168/jds.2017-13827 6. Adriaens I., Huybrechts T., Geerinckx K., Daems D., Lammertyn J., De Ketelaere B., Saeys W., Aernouts B. (2017). Mathematical characterization of the milk progesterone profile as a leg up to individualized monitoring of reproduction status in dairy cows. THERIOGENOLOGY, 103, 44-51. doi:10.1016/j.theriogenology.2017.07.040 7. Daems D., Lu J., Delport F., Marien N., Orbie L., Aernouts B., Adriaens I., Huybrechts T., Saeys W., Spasic D., Lammertyn J. (2017). Competitive inhibition assay for the detection of progesterone in dairy milk using a fiber optic SPR biosensor. ANALYTICA CHIMICA ACTA, 950, 1-6. doi: 10.1016/j.aca.2016.11.005 8. Maselyne J., Adriaens I., Huybrechts T., De Ketelaere B., Millet S., Vangeyte J., Van Nuffel A., Saeys W. (2016). Measuring the drinking behavior of individual pigs housed in group using radio frequency identification (RFID). ANIMAL, 10 (9), 1557-1566. doi:10.1017/S1751731115000774 ABSTRACTS/PRESENTATIONS/POSTERS 1. Adriaens I., D’Anvers L., De Ketelaere B., Saeys W., Geerinckx K., Van Den Brulle I., Piepers S., Aernouts B. (2019). Characterization of quarter milk yield losses during clinical mastitis in dairy cows. In Book of Abstracts of the 70th Annual Meeting of the European Federation of Animal Science. EAAP. Ghent, Belgium, 26-29 August 2019. Wageningen Academic Publishers. 2. Adriaens I., Saeys W., Friggens NC., Martin O., Geerinckx K., De Ketelaere B., Aernouts B. (2019). Timing and consistency of luteolysis detection using two algorithms for milk progesterone monitoring. In Book of Abstracts of the 70th Annual Meeting of the European Federation of Animal Science. EAAP. Ghent, Belgium, 26-29 August 2019. Wageningen Academic Publishers. 3. Aernouts B., Diaz-Olivares J., Adriaens I., Saeys W., (2019). Online quality analysis of raw milk: potential of miniature spectrometers. In Book of Abstracts of the 70th Annual Meeting of the European Federation of Animal Science. EAAP. Ghent, Belgium, 26-29 August 2019. Wageningen Academic Publishers. 4. Aernouts B., Diaz-Olivares J., Adriaens I., Saeys W., (2019). NIR sensor for online quality analysis of raw milk: from concept to validation. In Book of Abstracts of the 70th Annual Meeting of the European Federation of Animal Science. EAAP. Ghent, Belgium, 26-29 August 2019. Wageningen Academic Publishers. 5. Adriaens I., Huybrechts T., Piepers S., Saeys W., De Ketelaere B., Aernouts B. (2017). A quarter level approach to monitor recovery after clinical mastitis. In Book of Abstracts of the 68th Annual Meeting of the European Federation of Animal Science. EAAP. Tallinn, Estonia, 28-31 August 2017. Wageningen Academic Publishers. 6. Adriaens I., Huybrechts T., De Ketelaere B., Saeys W., Aernouts B., (2017). Use of milk progesterone profile to predict reproduction status in dairy cows. In Book of Abstracts of the 68th Annual Meeting of the European Federation of Animal Science. EAAP. Tallinn, Estonia, 28-31 August 2017. Wageningen Academic Publishers. 7. Adriaens I., Huybrechts T., Aernouts B., Piccart K., Geerinckx K., Daems D., Lammertyn J., De Ketelaere B., Saeys W. (2016). Mathematical characterization of the milk progesterone profile as a leg up to individualized monitoring of reproduction status in dairy cows. In Kamphuis, C. (Ed.), Steeneveld, W. (Ed.), Precision Dairy Farming 2016: Vol. 1 (1). Precision Dairy Farming. Leeuwarden, The Netherlands, 21-23 June 2016 (pp. 333-336). Wageningen: Wageningen Academic Publishers. 8. Daems D., Lu J., Delport F., Aernouts B., Adriaens I., Huybrechts T., Saeys W., Spasic D., Lammertyn J. (2016). Progesterone detection in milk using a fiber optic SPR biosensor. Precision Dairy Farming 2016. Leeuwarden, Netherlands, 21 - 23 June 2016 9. Mariën N., Daems D., Delport F., Spasic D., Adriaens I., Saeys W., Lammertyn J. (2015). Fiber Optic SPR biosensor for progesterone detection in raw milk as a tool to improve reproduction. Second DairyCare Conference. Cordoba, 3 - 4 March 2015 10. Adriaens I., Maselyne J., Huybrechts T., De Ketelaere B., Millet S., Vangeyte J., Van Nuffel A., Saeys, W. (2014). Detecting health problems of individual pigs based on their drinking behaviour. Book of Abstracts of the 65th Annual Meeting of the European Federation of Animal Science. EAAP. Copenhagen, Denmark, 25-29 August 2014 (pp. 156-156) Wageningen Academic Publishers BOOK CHAPTER 1. Maselyne J., Adriaens I., Huybrechts T., De Ketelaere B., Millet S., Vangeyte J., Van Nuffel A., Saeys W., Halachmi, I., (Editor). (2015) Assessing the drinking behaviour of individual pigs using RFID registrations. In: Precision livestock farming applications: making sense of sensors to support farm management; Edition: 1; pp. 209 – 216. Wageningen Academic Publishers; Wageningen, the Netherlands ARTICLES IN NATIONAL JOURNALS 1. Adriaens I., De Ketelaere B., Saeys W., Van Den Brulle I., Geerinckx K., Piepers S., Aernouts B. (2018). Uiergezondheid opvolgen via kwartiermelkgift. In Boerenbond: Management & Techniek, Report No. 21, 45-46. 2. Adriaens I., Huybrechts, T., Aernouts B., Saeys, W. (2016) Meetgegevens omzetten in klare taal. In Boerenbond: Management en techniek, Leuven 3. Aernouts B., Adriaens I., Huybrechts T., Saeys W. (2016). Melk als spiegel voor koegezondheid. 21 (23), 42-43. Leuven: Boerenbond. 4. Daems D., Adriaens I., Huybrechts, T., Delport F., Aernouts B., Saeys, W., Lammertyn J. (2016) melk als spiegel voor de vruchtbaarheid. In Boerenbond: Management en techniek, Leuven 5. Piccart K., Huybrechts, T., Adriaens I., Saeys, W. (2016) Sensoren zijn een hulpmiddel voor de veehouder. In Boerenbond: Management en techniek, Leuven PHD THESIS 1. Adriaens I., Saeys W. (sup.), De Ketelaere B. (cosup.), Piepers S. (cosup.) (2018). Data-based monitoring of dairy cows - milk progesterone as a mirror of fertility. PhD thesis. OTHER SCIENTIFIC OUTPUT 1. ‘A multiprocess Kalman filter to monitor fertility performance through milk progesterone’ , Github repository codehttps://www.github.com/iadriaens/MPKF 2. Data mining code for merging and preprocessing daily and per milking milk yield data from automated milking systemshttps://www.github.com/iadriaens/Milk_backup_data 3. MastiMan project scripts and functions (Bayesian prediction of quarter level milk loss)https://github.com/iadriaens/MastiMan