Digital Dairy – Utilising sensor and ICT technology for

SMART manufacture

Dr. Mark Fenelon

Teagasc Food Research Centre, Moorepark

Digital Dairy

Introduction

Sensor and ICT for SMART Dairy production

Predicting processing through production

Digitised milk composition - new dairy streams

Future work

Teagasc Food Research Centre, Moorepark

Moorepark, Animal & Grassland Research and Innovation Centre

Dublin

Cork

Food Chemistry

& Technology

Food

Biosciences Moorepark

Technology

Limited,

MTL

Teagasc Dairy Research at the Moorepark Site

12 Companies; 24 hosted Researchers

Science and technology critical

Teagasc Technology Foresight

identified key transformative

technologies

1. Theme 1: Plant and Animal Genomics

and Related Technologies

2. Theme 2: Human, Animal and Soil

Microbiota

3. Theme 3: Digital Technologies

4. Theme 4: New Technologies for Food

Processing

5. Theme 5: Transformation in the Food

Value Chain System

Milk ‘Processing’! – Composition is key!

Pasture-Based Production

Animal-Based Production Value-Added Dairy Products and Ingredients

Complex Manufacturing Processes (Milk Composition is Key)

Introduction

Sensor and ICT for SMART Dairy production

Predicting processing through production

Digitised milk composition - new dairy streams

Future work

Digital Dairy

Soil management

Management

• Soil nutrient status

• Electrical conductivity mapping

• Soil Carbon monitoring

Monitoring

• Real time, in field

• Soil moisture status

• Trafficability

Measuring pasture

growth from space

Drones could be a future

technology for grass

measurement

GPS

Exclusion

Zone

Warning and

virtual fence

lines

Virtual fencing – allocating grazing

area without fences

Smart Phone

Satellite - GPS

Grasshopper

Grazing

Allocation

Dry

Matter

(%)

Animal

Demand

(DM/day)

Number

of

Animals

Biosensors in veterinary diagnostics

Currently working on BVD, Liver fluke, IBR, and IgG Have achieved proof of concept for BVD antibody

• Nanosensors to allow rapid on-site diagnostics

• To both replace and support laboratory based diagnostics such as ELISA

Advantages • Handheld devices • Small sample volumes required • Microfluidics coupled to biosensor chip • Results in minutes

Technology to record phenotypes

Technology to record phenotypes

Technology to record phenotypes

Automated milking system (AMS)

(Robotic milking)

Will AMS become widespread in Ireland?

Will they be adapted – e.g. mobile robot?

What can we do with all the data they generate?

Introduction

Sensor and ICT for SMART Dairy production

Predicting processing through production

Digitised milk composition - new dairy streams

Future work

Digital Dairy

Predicting Processability?

Protein, Fat, Lactose

Casein, NPN Processability?

RCT, Thermal Stability,

Gelation Properties

Next Generation Infant formula Manufacture

Milk Processor 1

Milk producer 1

Infant Formula Manufacturer

Milk Processor 2

Milk producer 2

Skim milk

manufacture Cheese manufactureWhey Protein

Ingredient

Skim

powder

Whey

powder

Fat

blend

Charbohydrate

Minerals

Vitamins

Infant Formula

Powder

Milk producer

Dairy Processor / Infant Formula Manufacturer

Fat

blend Charbohydrate

Minerals

Vitamins

Infant Formula

Powder

Liquid

Mix

Liquid

Mix

Spray

Dryer

Spray

Dryer

Spray

Dryer

Spray

Dryer

Evaporator Evaporator

Evaporator

Integrated membrane

process

Separat

or

Protein base

(see Figure 2)

Typical Road Map for Infant Formula

Manufacture

Proposed Road Map for Next Generation Infant Formula Manufacture –

using a new concept ingredient as a liquid protein base

Liquid Casein &

Whey Streams

Funding: Food Institute & Research Measure (FIRM)

Introduction

Sensor and ICT for SMART Dairy production

Predicting processing through production

Digitised milk composition - new dairy streams

Future work

Digital Dairy

Components of Digital Dairy for

‘SMART manufacture’

• Link genetic make-up of animals, grass cultivar, microbiota

of soil and rumen, nitrogen map on farm, etc with phenotypic

traits

• Advanced Chemometrics

• Photonics and sensor technology

• Big data capability / new algorithms to crunch the data

• Predictive models to generate ‘target composition’ based on

data from Animal and Feed

• Ability to network MIR based instruments store their data for

generation of prediction models

• Methodologies to generate gold standards for phenotyping

• Targeted milk composition

Milk tailored for new

product streams!

Genotyping the herd!

• Genomic selection has increased rate of genetic gain in dairy herd by 60%

• Custom SNP chip (Teagasc, ICBF, Weatherby’s, Illumina) developed in 2013

• Ireland will soon have the largest set of genotyped animals in the world –

250,000/yr

• Now research to leverage this data – 250 trillion data points

Faster genetic gain

Planned matings

Speciality herds

Further Valorisation of Milk

Digital Dairy: Animal Breed, Milk Compositional and Technological

Traits for Functional Ingredients with Health Benefits

Introduction

Sensor and ICT for SMART Dairy production

Predicting processing through production

Digitised milk composition - new dairy streams

Future work

Digital Dairy

International Sensory Evaluation

e.g., Cheese for China / Meat for China

Fujian Agriculture and Forestry University, China

Food Quality & Sensory

Milk Composition (nutrition) for Sports Applications

FutureMilk Centre

Prof. Donagh Berry

FutureMilk Milk by Design

Research Programme

FutureMilk Milk by Design

Animal

Breeding

Pasture

Field & Production

Digital Dairy - Next Generation Milk from integrating ICT

platforms with Pasture / Cow / Dairy Products

Milk Chemistry

Quality & Safety

Laboratory &

Pilot Plant Processing

Sustainable

Systems

Animal & Pasture Research Dairy Research

Thank You!

Noel McCarthy Mark Auty Aoife Buggy Andre Brodkorb Alan O Riordan John Tobin Eoin Murphy

What is the Future for Milk?

Multiplatform sensors

predicting at the molecular

level - optimised

composition for

development of tailored

milks for Export