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Farm-specific economic value of automatic lameness detection systems in dairy cattle : from concepts to operational simulations

(2018) JOURNAL OF DAIRY SCIENCE. 101(1). p.637-648
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Abstract
Although prototypes of automatic lameness detection systems for dairy cattle exist, information about their economic value is lacking. In this paper, a conceptual and operational framework for simulating the farm-specific economic value of automatic lameness detection systems was developed and tested on 4 system types: walkover pressure plates, walkover pressure mats, camera systems, and accelerometers. The conceptual framework maps essential factors that determine economic value (e.g., lameness prevalence, incidence and duration, lameness costs, detection performance, and their relationships). The operational simulation model links treatment costs and avoided losses with detection results and farm-specific information, such as herd size and lameness status. Results show that detection performance, herd size, discount rate, and system lifespan have a large influence on economic value. In addition, lameness prevalence influences the economic value, stressing the importance of an adequate prior estimation of the on-farm prevalence. The simulations provide first estimates for the upper limits for purchase prices of automatic detection systems. The framework allowed for identification of knowledge gaps obstructing more accurate economic value estimation. These include insights in cost reductions due to early detection and treatment, and links between specific lameness causes and their related losses. Because this model provides insight in the trade-offs between automatic detection systems' performance and investment price, it is a valuable tool to guide future research and developments.
Keywords
MILK-YIELD, REPRODUCTIVE-PERFORMANCE, CLINICAL LAMENESS, LOCOMOTION, SCORE, HOLSTEIN COWS, CLAW DISORDERS, SOLE ULCER, PREVALENCE, GAIT, HEALTH, lameness cost, automatic lameness detection, economic value, farm, profitability, early detection

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MLA
Van De Gucht, Tim, Wouter Saeys, Jef Van Meensel, et al. “Farm-specific Economic Value of Automatic Lameness Detection Systems in Dairy Cattle : from Concepts to Operational Simulations.” JOURNAL OF DAIRY SCIENCE 101.1 (2018): 637–648. Print.
APA
Van De Gucht, Tim, Saeys, W., Van Meensel, J., Van Nuffel, A., Vangeyte, J., & Lauwers, L. (2018). Farm-specific economic value of automatic lameness detection systems in dairy cattle : from concepts to operational simulations. JOURNAL OF DAIRY SCIENCE, 101(1), 637–648.
Chicago author-date
Van De Gucht, Tim, Wouter Saeys, Jef Van Meensel, Annelies Van Nuffel, Jurgen Vangeyte, and Ludwig Lauwers. 2018. “Farm-specific Economic Value of Automatic Lameness Detection Systems in Dairy Cattle : from Concepts to Operational Simulations.” Journal of Dairy Science 101 (1): 637–648.
Chicago author-date (all authors)
Van De Gucht, Tim, Wouter Saeys, Jef Van Meensel, Annelies Van Nuffel, Jurgen Vangeyte, and Ludwig Lauwers. 2018. “Farm-specific Economic Value of Automatic Lameness Detection Systems in Dairy Cattle : from Concepts to Operational Simulations.” Journal of Dairy Science 101 (1): 637–648.
Vancouver
1.
Van De Gucht T, Saeys W, Van Meensel J, Van Nuffel A, Vangeyte J, Lauwers L. Farm-specific economic value of automatic lameness detection systems in dairy cattle : from concepts to operational simulations. JOURNAL OF DAIRY SCIENCE. 2018;101(1):637–48.
IEEE
[1]
T. Van De Gucht, W. Saeys, J. Van Meensel, A. Van Nuffel, J. Vangeyte, and L. Lauwers, “Farm-specific economic value of automatic lameness detection systems in dairy cattle : from concepts to operational simulations,” JOURNAL OF DAIRY SCIENCE, vol. 101, no. 1, pp. 637–648, 2018.
@article{8545585,
  abstract     = {Although prototypes of automatic lameness detection systems for dairy cattle exist, information about their economic value is lacking. In this paper, a conceptual and operational framework for simulating the farm-specific economic value of automatic lameness detection systems was developed and tested on 4 system types: walkover pressure plates, walkover pressure mats, camera systems, and accelerometers. The conceptual framework maps essential factors that determine economic value (e.g., lameness prevalence, incidence and duration, lameness costs, detection performance, and their relationships). The operational simulation model links treatment costs and avoided losses with detection results and farm-specific information, such as herd size and lameness status. Results show that detection performance, herd size, discount rate, and system lifespan have a large influence on economic value. In addition, lameness prevalence influences the economic value, stressing the importance of an adequate prior estimation of the on-farm prevalence. The simulations provide first estimates for the upper limits for purchase prices of automatic detection systems. The framework allowed for identification of knowledge gaps obstructing more accurate economic value estimation. These include insights in cost reductions due to early detection and treatment, and links between specific lameness causes and their related losses. Because this model provides insight in the trade-offs between automatic detection systems' performance and investment price, it is a valuable tool to guide future research and developments.},
  author       = {Van De Gucht, Tim and Saeys, Wouter and Van Meensel, Jef and Van Nuffel, Annelies and Vangeyte, Jurgen and Lauwers, Ludwig},
  issn         = {0022-0302},
  journal      = {JOURNAL OF DAIRY SCIENCE},
  keywords     = {MILK-YIELD,REPRODUCTIVE-PERFORMANCE,CLINICAL LAMENESS,LOCOMOTION,SCORE,HOLSTEIN COWS,CLAW DISORDERS,SOLE ULCER,PREVALENCE,GAIT,HEALTH,lameness cost,automatic lameness detection,economic value,farm,profitability,early detection},
  language     = {eng},
  number       = {1},
  pages        = {637--648},
  title        = {Farm-specific economic value of automatic lameness detection systems in dairy cattle : from concepts to operational simulations},
  url          = {http://dx.doi.org/10.3168/jds.2017-12867},
  volume       = {101},
  year         = {2018},
}

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