Jessica Werner

Pubblicazioni nella banca dati Organic Eprints

Pubblicazioni non incluse nella banca dati Organic Eprints

• 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