Field trial to demonstrate the intelligent dairy assistant (IDA) system on dairy farms

C.J. Rutten*, N. Molenaar, P. Hogewerf, S.P. Van Gosliga, C. Lokhorst

*Corresponding author for this work

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

Abstract

Connecterra's Intelligent Dairy Assistant (IDA) is a novel Internet of Things based on a management support system for dairy farms. IDA uses sensor technology, cloud computing and artificial intelligence to support dairy farmers with insights on oestrus and health management. IDA analyses cow behaviour (originating from a 3D accelerometer on a neck collar) and herd patterns, and learns from the farmer's feedback. Within the Horizon 2020 project Internet for Food and Farm (www.IoF2020.eu) a field trial was conducted. The goal was to demonstrate that the IDA approach to generate actionable insights works. Therefore, we tracked KPI's on farm economics, animal health and fertility on two commercial dairy farms. We report the results of our trial from January to December 2018. Both farms had a herd of 100 cows, from which 50 cows were equipped with IDA. The farm KPI's were measured separately for the groups with and without. In comparison to the without group, the with group had, on average, its expected calving interval 5.92 and 0.88 days lower on Farm 1 and 2, respectively. Likewise, treatments with antibiotics 1.15 and 2.60 days shorter and 305 day milk yield 434 kg higher (Farm 1) and 405 kg lower (Farm 2) in the with group. For milk production the results are inconclusive as the groups were not balanced on milk yield before the trial started. We experienced in this trial, by qualitative feedback of the farmers, that the IDA approach worked and more observations are needed for scientific proof.

Original languageEnglish
Title of host publicationPrecision Livestock Farming 2019
Subtitle of host publicationPapers Presented at the 9th European Conference on Precision Livestock Farming, ECPLF 2019
EditorsBernadette O'Brien, Deirdre Hennessy, Laurence Shalloo
PublisherTeagasc
Pages277-283
Number of pages7
ISBN (Electronic)9781841706542
Publication statusPublished - 2019
Event9th European Conference on Precision Livestock Farming, ECPLF 2019 - Cork, Ireland
Duration: 26 Aug 201929 Aug 2019

Publication series

NamePrecision Livestock Farming 2019 - Papers Presented at the 9th European Conference on Precision Livestock Farming, ECPLF 2019

Conference

Conference9th European Conference on Precision Livestock Farming, ECPLF 2019
Country/TerritoryIreland
CityCork
Period26/08/1929/08/19

Keywords

  • Artificial intelligence
  • Health
  • Learning
  • Oestrus
  • Sensor

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