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