Kees Lokhorst

ORCID: 0000-0002-4334-5127
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About
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Research Areas
  • Animal Behavior and Welfare Studies
  • Effects of Environmental Stressors on Livestock
  • Animal Disease Management and Epidemiology
  • Food Supply Chain Traceability
  • Smart Agriculture and AI
  • Agriculture Sustainability and Environmental Impact
  • Human-Animal Interaction Studies
  • Agriculture and Farm Safety
  • Animal Nutrition and Physiology
  • Context-Aware Activity Recognition Systems
  • Agricultural Systems and Practices
  • Genetic and phenotypic traits in livestock
  • AI in Service Interactions
  • Ethics and Social Impacts of AI
  • Virology and Viral Diseases
  • IoT and Edge/Fog Computing
  • Wildlife Ecology and Conservation
  • Wireless Body Area Networks
  • Livestock Management and Performance Improvement
  • Psychology of Moral and Emotional Judgment

Wageningen University & Research
2008-2024

KU Leuven
2024

Van Hall Larenstein University of Applied Sciences
2018

Abstract Lameness is considered a major problem in dairy production. commonly detected with locomotion scores assigned to cows under farm conditions, but raters are often trained and assessed for reliability agreement by using video recordings. The aim of this study was evaluate intra- inter-rater experienced inexperienced scoring performed live from video, calculate the influence method observation (live or video) on probability classifying cow as lame. Using five-level score, were scored...

10.7120/09627286.24.1.069 article EN Animal Welfare 2015-02-01

Abstract These last years, the development of AI robots for agriculture, livestock farming and food processing industries is rapidly increasing. are expected to help produce deliver more efficiently a growing human population, but they also raise societal ethical questions. As type questions raised by these in society have been rarely empirically explored, we engaged four case studies focussing on types agri-food ‘in making’: manure collectors, weeding robots, harvesting which select package...

10.1007/s00146-022-01429-8 article EN cc-by AI & Society 2022-04-01

Summary The current health-care infrastructure is generally considered to be inadequate meet the needs of an increasingly older population. We have investigated feasibility a passive in-home monitoring system based on wireless accessible sensor populations (WASP). In EU-funded project we identified architecture and sensors required gather data from elderly patients by continuous monitoring. Data biological variables (heart rate, accelerometers, body temperature galvanic skin response)...

10.1258/jtt.2008.003010 article EN Journal of Telemedicine and Telecare 2008-03-01

<abstract> <bold>Abstract.</bold> One of the objectives Precision Livestock Farming (PLF) is to develop on-line tools for fully automatic and continuous monitoring farm animals. PLF consists measuring animal variables, modeling these data select information calculate specific parameters, then apply in real time controlling purposes. Computer vision widely applied PLF, as well image analysis techniques that have been used e.g., automatically detect lameness dairy cows. Therefore, performance...

10.13031/aim.20131620675 article EN 2013 Kansas City, Missouri, July 21 - July 24, 2013 2013-01-01

<abstract> <bold>Abstract.</bold> The objective of this study was to implement a computer vision system for automatic monitoring animal based measures relevant lameness detection in commercial dairy farm. implementation procedure comprised the following steps: (1) start and stop video recordings, (2) identification cow video, (3) processing including filtering good quality images calculation back posture parameters used classifying cows as lame or not lame. After implementation, performance...

10.13031/aim.20141899255 article EN 2016 ASABE Annual International Meeting 2014-07-16
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