PPT Presentation - ICAR

1948

Our mission statement“To be the company in the dairy and cattle market that isthe front runner in state-of-the-art farming solutions,striving for improvement of the financial and socialwellbeing of its customers”

Transition to automationIncreased farm size – reduced labour force – increased labour costs

Mechanisation• Mechanization of routine activities

Automation• Automation of routine activities

Goals• Milk/FTE• Profits• Costs

More milk/FTE – increase profitabilityFocus on the individual cow:• Increase individual cowperformance and production• Optimise profits per cow• Management by exception

smellvisionhearingfeelHow to automatehuman senses?taste

Automation of human sensesTHE ANIMALWho are you ? (ID)Research &InnovationWhat do you do ? (sensors)What can be improved ? (software analyses)

Optimisation of performanceIndividual optimisationof health andproductionIndividual cowparametersSensors andsoftware forrecording andanalysis

Sensor development• Cheap, reliable, non-invasive sensors• Smart algorithms to improve accuracy• Multi-use of one sensor• Use of sensors from other industries• Automotive• Medical• Communication• Management by Exception

Exact or not?• Is it relevant to know if you drive 120,462 km/hour or is itsufficient when you know that you drive 120 km/hour +/-5 km?• This means that as a user of the data you have tounderstand the meaning of the data.

Are the algorithms important….?InputAutomaticFeedingDairy Cow:Milk productionAutomaticMilkingOutputt2( ) ( 1 ) ( 2 )0, it 1, it it 2, it it 2, itY = M = c + c C + c C I + b I + νit it it( 1) ( 1) 2 ( 1) ( 2)= c I + c C I + c C I + b I + ν0, it it 1, it it it 2, it it it 2, it it it= F′θ + νt t t( − )γt~ Beta ⎡δV , tnt −1 / 2, 1 δV , tnt−1/ 2⎤⎣⎦itPriorinformationInterventionDiscount factorsThresholds24Real Time Process DataIndividual Cow DataAdaptiveModelParameter EstimatesWarnings3OptimalSettings⎛c11, t −1 / δt,1 c12, t −1⎞Rt = GCt 1G′−/ δt= ⎜ ⎟⎝ c21, t −1 c22, t −1 / δt,2⎠COpt,it( π ˆˆM , itc1, itπC, itπR, itd1,it )− − −=2πcˆM , it 2, itTargetsThresholdsPrices…ControlAlgorithmAlerts…5

Sensors in practiceVisitbehaviourRuminationActivityFeedintakeWeightBodytemperatureMilk, fat,protein yieldUdder health

Smart algorithms: mastitis detectionFarm 1Farm 2Farm 3Average• ISO demand: 99+% SP, 70+% SE• Practical results: 99+% SP, 90% SE• 9 out of 10 mastitis cases detected• 993 out of 1000 milkings correctly classified

Smart algorithms: weightWhat is the weight of a cow??Natural variation of +/-60kg in 24 hours.By the use of a dynamic filter we are now accurate by 0,8%of the life weight (4-5 kg).

Screenshots

Where will we go?Critical parameters for succes:• General health• Udder health• Fertility• everything elseis a consequence….

Future developments• Health – Cow “events”• Behaviour and well-being• Milk components• Environment: carbon footprint

Future developments• Further improvement of reliability• Reduction of down time (lower service cost)• Reduction of maintenance• Offer “more for the same €”• And obviously “ smart algorithms” to get the maximuminformation out of the available data.

BalanceDurableReproducable/simplicityRespect:- Animal / cow(animal well being / interaction)- Environment(energy consumption)Support /24/7 serviceCostsvs.Labour reduction

www.lely.com