phaidra.vetmeduni.ac.at o:1614 DOI 10.3390/ani13071180 The Combined Use of Automated Milking System and Sensor Data to Improve Detection of Mild Lameness in Dairy Cattle This study aimed to develop a tool to detect mildly lame cows by combining already existing data from sensors, AMSs, and routinely recorded animal and farm data. For this purpose, ten dairy farms were visited every 30-42 days from January 2020 to May 2021. Locomotion scores (LCS, from one for nonlame to five for severely lame) and body condition scores (BCS) were assessed at each visit, resulting in a total of 594 recorded animals. A questionnaire about farm management and husbandry was completed for the inclusion of potential risk factors. A lameness incidence risk (LCS ≥ 2) was calculated and varied widely between farms with a range from 27.07 to 65.52%. Moreover, the impact of lameness on the derived sensor parameters was inspected and showed no significant impact of lameness on total rumination time. Behavioral patterns for eating, low activity, and medium activity differed significantly in lame cows compared to nonlame cows. Finally, random forest models for lameness detection were fit by including different combinations of influencing variables. The results of these models were compared according to accuracy, sensitivity, and specificity. The best performing model achieved an accuracy of 0.75 with a sensitivity of 0.72 and specificity of 0.78. These approaches with routinely available data and sensor data can deliver promising results for early lameness detection in dairy cattle. While experimental automated lameness detection systems have achieved improved predictive results, the benefit of this presented approach is that it uses results from existing, routinely recorded, and therefore widely available data. eng Behavioral-Changes; Feeding-Behavior; Foot Disorders; Scoring System; Lying Behavior; Cows; Health; Impact; Associations; Management 2023-05-10T14:13:49.200Z LOMv1.0 Author BEGIN:VCARD VERSION:3.0 N:Lemmens;Lena; FN:Lena Lemmens END:VCARD BEGIN:VCARD VERSION:3.0 N:Kofler;Johann; FN:Johann Kofler X-ORCID:https://orcid.org/0000-0001-9664-3446 END:VCARD BEGIN:VCARD VERSION:3.0 N:Papst;Franz; FN:Franz Papst X-ORCID:https://orcid.org/0000-0001-8559-5928 END:VCARD BEGIN:VCARD VERSION:3.0 N:Maurer;Lorenz; FN:Lorenz Maurer END:VCARD BEGIN:VCARD VERSION:3.0 N:Steininger;Franz; FN:Franz Steininger X-ORCID:https://orcid.org/0000-0003-3400-3501 END:VCARD BEGIN:VCARD VERSION:3.0 N:Mayerhofer;Martin; FN:Martin Mayerhofer END:VCARD BEGIN:VCARD VERSION:3.0 N:Phelan;Mary; FN:Mary Phelan END:VCARD BEGIN:VCARD VERSION:3.0 N:Suntinger;Marlene; FN:Marlene Suntinger END:VCARD BEGIN:VCARD VERSION:3.0 N:Linke;Kristina; FN:Kristina Linke END:VCARD BEGIN:VCARD VERSION:3.0 N:Egger-Danner;Christa; FN:Christa Egger-Danner END:VCARD BEGIN:VCARD VERSION:3.0 N:Schwarzenbacher;Hermann; FN:Hermann Schwarzenbacher END:VCARD BEGIN:VCARD VERSION:3.0 N:Fuerst-Waltl;Birgit; FN:Birgit Fuerst-Waltl X-ORCID:https://orcid.org/0000-0002-4336-5830 END:VCARD BEGIN:VCARD VERSION:3.0 N:Schodl;Katharina; FN:Katharina Schodl X-ORCID:https://orcid.org/0000-0002-9592-4040 END:VCARD https://w3id.org/kim/hcrt/scheme https://w3id.org/kim/hcrt/text Textdokument Text LOMv1.0 yes https://creativecommons.org/licenses/by/4.0 application/pdf 1097793 https://phaidra.vetmeduni.ac.at/o:1614 https://phaidra.vetmeduni.ac.at/api/object/o:1614/thumbnail LOMv1.0 discipline