Real-time monitoring of growing pigs Thomas Nejsum Madsen IQinAbox - - PowerPoint PPT Presentation

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Real-time monitoring of growing pigs Thomas Nejsum Madsen IQinAbox - - PowerPoint PPT Presentation

Dec 04, 2023 482 likes •826 views

Real-time monitoring of growing pigs Thomas Nejsum Madsen IQinAbox www.iqinabox.com IQinAbox IQinAbox Bridges the gap between scientific research and modern pig production Work with universities, research organizations and suppliers

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Real-time monitoring of growing pigs

Thomas Nejsum Madsen

IQinAbox – www.iqinabox.com

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IQinAbox

IQinAbox

  • Bridges the gap between scientific research and modern pig production
  • Work with universities, research organizations and suppliers to the pig industry
  • Our aim is to increase productivity and animal welfare by better use of data
  • We provide sensors and software for monitoring pigs
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IQinAbox

Software in pig production

Management Equipment Monitoring

  • Monitoring – general trends in industrial production
  • Experience from Industry 4.0 and Machine learning?
  • Challenges with biological data
  • Monitoring examples
  • Merging several data sources
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Internet of Things – new opportunities

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Industry 4.0 – the 4th industrial revolution

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Machine learning in industrial production

Data that’s not used

”Machine learning: the science of making computers make decisions without being explicitly programmed to perform the task”

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Example: Vibrations on an industrial machine

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Production unit - weaners

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Water flowmeter

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Water consumption per hour (7 days)

4-5 a.m. 5–6 p.m. 12 a.m

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A change in drinking behaviour 10 20 30 40 50 7 8 9 10 11 Dag

Liter vand pr time

Change in behaviour

Day

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Forecast vs. observation 10 20 30 40 50 7 8 9 10 11 Dag

Liter vand pr time Observeret Model

Change in behaviour

Day

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Software for monitoring water and feed consumption - challenges

  • Pigs change drinking behavior as they grow
  • Drinking patterns vary between herds / housing systems
  • Research and modelling is based on data from very few test herds
  • Expensive equipment for data collection
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Dynamic estimation of daily gain

  • Development project with Danish Crown
  • Launched in DK september 2019

Check it out…

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Example – batch production

Delivery date

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Example of deviation weekly

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Daily gain estimates converted to growth curves

Age (days)

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Examples with different deviation in growth rate(30-110 kg)

  • Feeding strategy
  • Delivery strategy
  • ‘Looser pigs’

Age (days) Age (days)

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Growth estimation based on feed intake

  • Investigation indicates that growth rate can be estimated based on feed intake
  • Need to know feed composition and continues feed consumption

Growth curve

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New joint development project with researchers

  • We use technologies from the production industry in combination with results from

Herd Management research (e.g. PigIT)

  • IoT based sensors
  • Cloud based data analysis and Machine Learning
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The concept

Cloud IoT box IoT hub Output Data Modelling Researchers Implement

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IoT – Farm monitoring, OEM

Cloud IoT hub Output Feeding and ventilation equipment Feeding and ventilation User interface

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Central alarm facilitation

Centralized surveillance

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Modular IoT-box

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Trial farms

  • Establishment of 5 trial farms
  • Test and experimental work with various sensor types
  • Logbook on diseases and disorders
  • Playground for new ideas
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Measuring dry feed in silos

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Complex and difficult to mount load cells on existing silos

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Strain gauge sensors

  • Sensors mounted on silo legs
  • Measure compression on silo legs
  • Converts signal to weight estimate
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Load cells vs. strain gauge sensors

Load cell data Strain gauge data

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Growth estimation based on feed intake

  • Studies indicate that growth rate can be estimated based on feed intake.
  • Need to know the feed composition and the continuous feed consumption

Growth curve

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Cough Pen

Directional sound recognition

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IQinAbox

  • cloud based data science

Cloud Output Data Modelling Researchers Implement