| A validation of technologies monitoring dairy cow feeding, ruminating, and lying behaviors MR Borchers, YM Chang, IC Tsai, BA Wadsworth, JM Bewley Journal of dairy science 99 (9), 7458-7466, 2016 | 267 | 2016 |
| Machine-learning-based calving prediction from activity, lying, and ruminating behaviors in dairy cattle MR Borchers, YM Chang, KL Proudfoot, BA Wadsworth, AE Stone, ... Journal of dairy science 100 (7), 5664-5674, 2017 | 228 | 2017 |
| An assessment of producer precision dairy farming technology use, prepurchase considerations, and usefulness MR Borchers, JM Bewley Journal of dairy science 98 (6), 4198-4205, 2015 | 182 | 2015 |
| Comparison of methods to predict feed intake and residual feed intake using behavioral and metabolite data in addition to classical performance variables MJ Martin, JRR Dórea, MR Borchers, RL Wallace, SJ Bertics, SK DeNise, ... Journal of Dairy Science 104 (8), 8765-8782, 2021 | 24 | 2021 |
| An evaluation of technology-recorded rumination and feeding behaviors in dairy heifers MA Reynolds, MR Borchers, JA Davidson, CM Bradley, JM Bewley Journal of dairy science 102 (7), 6555-6558, 2019 | 22 | 2019 |
| An evaluation of a novel device for measuring eating, rumination, and inactive behaviors in lactating Holstein dairy cattle MR Borchers, S Gavigan, A Harbers, J Bewley Animal 15 (1), 100008, 2021 | 16 | 2021 |
| 1.1. Precision dairy monitoring: what have we learned? JM Bewley, RA Russell, KA Dolecheck, MR Borchers Precision livestock farming applications, 13-24, 2015 | 12 | 2015 |
| Precision dairy monitoring opportunities, limitations, and considerations JM Bewley, RA Russell, KA Dolecheck, MR Borchers, AE Stone, ... Proceedings of the Western Dairy Management Conference, Reno, NV, USA, 3-5, 2015 | 12 | 2015 |
| Distribution of staphylococcal and mammaliicoccal species from compost-bedded pack or sand-bedded freestall dairy farms PRF Adkins, LM Placheta, MR Borchers, JM Bewley, JR Middleton Journal of Dairy Science 105 (7), 6261-6270, 2022 | 11 | 2022 |
| Precision dairy monitoring technology implementation opportunities and challenges JM Bewley, MR Borchers, KA Dolecheck, AR Lee, AE Stone, CM Truman Large Dairy Herd Management. 3rd edition (Red. DK Beede), 2017 | 9 | 2017 |
| An evaluation of precision dairy farming technology adoption, perception, effectiveness, and use MR Borchers | 9 | 2015 |
| Predicting impending calving using automatic activity and rumination measures in dairy cattle MR Borchers, YM Chang, E Stone, A Wadsworth, JM Bewley Proceedings of the 7th European Conference on Precision Livestock Farming …, 2015 | 5 | 2015 |
| The effects of housing on dairy cow comfort, immune function, stress, productivity, and milk quality MR Borchers | 4 | 2018 |
| Predicting impending calving using automatically collected measures of activity and rumination in dairy cattle MR Borchers, AE Sterrett, BA Wadsworth, JM Bewley J Dairy Sci 97 (E-Suppl. 1), 179, 2014 | 4 | 2014 |
| Precision dairy technologies: a producer assessment MR Borchers, JM Bewley | 3 | 2013 |
| Evaluating teat skin condition in response to phenoxyethanol as a post-milking teat disinfectant on lactating dairy cows SK Reeves, MR Borchers, JM Bewley J. Dairy Vet. Anim. Res 6, 291-296, 2017 | 2 | 2017 |
| Prediction of dry matter intake using linear regression of sensor, blood metabolite, and performance variables in mid-lactation cows. MJ Martin, RS Pralle, RL Wallace, MR Borchers, SR DeNise, KA Weigel, ... JOURNAL OF DAIRY SCIENCE 103, 204-204, 2020 | | 2020 |
| Predicting calving in dairy cattle using machine-learning methods applied to automatically collected activity, rumination, and lying behaviors MR Borchers, YM Chang, KL Proudfoot, BA Wadsworth, AE Stone, ... Precision Dairy Farming 2016, 279-284, 2016 | | 2016 |
| A producer assessment of precision dairy farming technology use, usefulness, and pre-purchase considerations M Borchers 2014 ADSA-ASAS-CSAS Joint Annual Meeting, 2014 | | 2014 |
Jeffrey BewleyHolstein Association USAVerified email at holstein.com
