Publications that are not in the Organic Eprints archive
Speidel, L. T., Perdana-Decker, S., Werner, J., Dominguez, G. B., Winter, D., Dickhöfer, U., Gallmann, E., Pfeiffer, M., Bahrs, E. (2023): Digitale Anwendungsoptionen in landwirtschaftlichen Kleinstrukturen der Pferdehaltung und weidebasierter Milchviehhaltung. Züchtungskunde 95(5), 339-355
Perdana-Decker, S., Velasco, E., Werner, J., Dickhoefer, U. (2023): On-farm evaluation of models to predict herbage intake of dairy cows grazing temperate semi-natural grasslands. Animal 17(5), 100806.
Barsotti, M. P., de Almeida, R. G., Macedo, M. C., Laura, V. A., Alves, F. V., Werner, J., Dickhoefer, U. (2022): Assessing the freshwater fluxes related to beef cattle production: A comparison of integrated crop-livestock systems and a conventional grazing system. Agricultural Water Management 269, 107665.
Umstätter, C., Mann, S., Werner, J. (2022): A simple measure for workload as a social sustainability indicator for family farms. Environmental and Sustainability Indicators 14, 100180
Shalloo, L., Byrne, T., Leso, L., Ruelle, E., Starsmore, K., Geoghegan, A., Werner, J., O’Leary, N. (2021): A review of precision technologies in pasture-based dairying systems. Irish Journal of Agricultural and Food Research, 1-13
Weinert, J. R., Werner, J., Williams, C. A. (2020): Validation and implementation of an automated chew-sensor based remote monitoring device as tool for equine grazing research. Journal of Equine Veterinary Science 88, 102971
O’Leary, N. W., Byrne, D., Garcia, P., Werner, J., Cabedoche, M., Shalloo, L. (2020): Grazing Cow Behavior’s Association with Mild and Moderate Lameness. Animals 10(4), 661.
Shafiullah, A. Z., Werner, J., Kennedy, E., Leso, L., O’Brien, B., Umstätter, C. (2019): Machine learning based prediction of insufficient herbage allowance with automated feeding behaviour and activity data. Sensors 19(20), 4479
Werner, J., Umstatter, C., Leso, L., Kennedy, E., Geoghegan, A., Shalloo, L., Schick, M., O’Brien, B, (2019): Evaluation and application potential of an accelerometer-based collar device for measuring grazing behavior of dairy cows. Animal 13(9), 2070-2079
Werner, J., Umstatter, C., Kennedy, E., Grant, J., Leso, L., Geoghegan, A., Shalloo, L., Schick, M., O’Brien, B. (2019): Identification of possible cow grazing behavior indicators for restricted grass availability in a pasture-based spring calving dairy system. Livestock Science 220, 74-82
Shalloo, L., O’ Donovan, M., Leso, L., Werner, J., Ruelle, E., Geoghegan, A., Delaby, L., O’Leary, N. (2018): Review: Grass-based dairy systems, data and precision technologies. Animal 12(s2), 262-271.
Werner, J., Leso, L., Umstatter, C., Niederhauser, J., Kennedy, E., Geoghegan, A., Shalloo, L., Schick, M., O’Brien, B. (2018): Evaluation of the RumiWatchSystem for measuring grazing behaviour of cows. Journal of Neuroscience Methods 300, 138-146
Roesch A., Gaillard G., Isenring J., Jurt C., Keil N., Nemecek T., Rufener C., Schüpbach B., Umstätter C., Waldvogel T., Walter T., Werner J., Zorn A. (2016): Umfassende Beurteilung der Nachhaltigkeit von Landwirtschaftsbetrieben, Agroscope Science 33, 1-279
Werner, J., Umstatter, C., Zehner, N., Niederhauser, J. J., Schick, M. (2016): Validation of a sensor-based automatic measurement system for monitoring chewing activity in horses. Livestock Science 186, 53-58
