Lameness Detection as a Service: Application of Machine Learning to an Internet of Cattle

John Byabazaire, Cristian Olariu, Mohit Taneja, Alan Davy

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

10 Citations (Scopus)

Abstract

Lameness is a big problem in the dairy industry, farmers are not yet able to adequately solve it because of the high initial setup costs and complex equipment in currently available solutions, and as a result, we propose an end-to-end IoT application that leverages advanced machine learning and data analytics techniques to identify lame dairy cattle. As part of a real world trial in Waterford, Ireland, 150 dairy cows were each fitted with a long range pedometer. The mobility data from the sensors attached to the front leg of each cow is aggregated at the fog node to form time series of behavioral activities (e.g., step count, lying time and swaps per hour). These are analyzed in the cloud and lameness anomalies are sent to farmer's mobile device using push notifications. The application and model automatically measure and can gather data continuously such that cows can be monitored daily. This means there is no need for herding the cows, furthermore the clustering technique employed proposes a new approach of having a different model for subsets of animals with similar activity levels as opposed to a one size fits all approach. It also ensures that the custom models dynamically adjust as weather and farm condition change as the application scales. The initial results indicate that we can predict lameness 3 days before it can be visually captured by the farmer with an overall accuracy of 87%. This means that the animal can either be isolated or treated immediately to avoid any further effects of lameness.

Original languageEnglish
Title of host publication2019 16th IEEE Annual Consumer Communications and Networking Conference, CCNC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538655535
DOIs
Publication statusPublished - 25 Feb 2019
Event16th IEEE Annual Consumer Communications and Networking Conference, CCNC 2019 - Las Vegas, United States
Duration: 11 Jan 201914 Jan 2019

Publication series

Name2019 16th IEEE Annual Consumer Communications and Networking Conference, CCNC 2019

Conference

Conference16th IEEE Annual Consumer Communications and Networking Conference, CCNC 2019
Country/TerritoryUnited States
CityLas Vegas
Period11/01/201914/01/2019

Keywords

  • Data Analytics
  • Fog Computing
  • Internet of Things (IoT)
  • Lameness
  • Machine Learning
  • Micro services
  • Smart Agriculture

Fingerprint

Dive into the research topics of 'Lameness Detection as a Service: Application of Machine Learning to an Internet of Cattle'. Together they form a unique fingerprint.

Cite this