Dr. Mark Fenelon Teagasc Food Research Centre, Moorepark
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1 Digital Dairy Utilising sensor and ICT technology for SMART manufacture Dr. Mark Fenelon Teagasc Food Research Centre, Moorepark
2 Digital Dairy Introduction Sensor and ICT for SMART Dairy production Predicting processing through production Digitised milk composition - new dairy streams Future work
3 Dublin Teagasc Dairy Research at the Moorepark Site 12 Companies; 24 hosted Researchers Teagasc Food Research Centre, Moorepark Cork Food Chemistry & Technology Food Biosciences Moorepark Technology Moorepark, Animal & Grassland Research and Limited, Innovation Centre MTL
4 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
5 Milk Processing! Composition is key! Animal-Based Production Value-Added Dairy Products and Ingredients Pasture-Based Production
6 Complex Manufacturing Processes (Milk Composition is Key)
7 Digital Dairy Introduction Sensor and ICT for SMART Dairy production Predicting processing through production Digitised milk composition - new dairy streams Future work
8 Soil management Management Soil nutrient status Electrical conductivity mapping Soil Carbon monitoring Monitoring Real time, in field Soil moisture status Trafficability
9 Measuring pasture growth from space Drones could be a future technology for grass measurement Virtual fencing allocating grazing area without fences Warning and virtual fence lines Exclusion Zone GPS
10 Satellite - GPS Smart Phone Grazing Allocation Animal Demand (DM/day) Dry Matter (%) Number of Animals Grasshopper
11 Biosensors in veterinary diagnostics 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 Currently working on BVD, Liver fluke, IBR, and IgG Have achieved proof of concept for BVD antibody
12 Technology to record phenotypes
13 Technology to record phenotypes
14 Technology to record phenotypes
15 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?
16 Digital Dairy Introduction Sensor and ICT for SMART Dairy production Predicting processing through production Digitised milk composition - new dairy streams Future work
17 Predicting Processability? Protein, Processability? Fat, Lactose Casein, RCT, Thermal NPN Stability, Gelation Properties
18 Next Generation Infant formula Manufacture Funding: Food Institute & Research Measure (FIRM) Skim milk manufacture Typical Road Map for Infant Formula Manufacture Milk producer 1 Milk Processor 1 Spray Dryer Whey Protein Ingredient Milk producer 2 Milk Processor 2 Cheese manufacture Spray Dryer Proposed Road Map for Next Generation Infant Formula Manufacture using a new concept ingredient as a liquid protein base Milk producer Dairy Processor / Infant Formula Manufacturer Integrated membrane process Separat or Minerals Fat blend Vitamins Charbohydrate Fat blend Charbohydrate Evaporator Skim powder Infant Formula Manufacturer Minerals Vitamins Evaporator Whey powder Spray Dryer Liquid Mix Spray Dryer Liquid Casein & Whey Streams Protein base (see Figure 2) Liquid Mix Infant Formula Powder Evaporator Infant Formula Powder
19 Digital Dairy Introduction Sensor and ICT for SMART Dairy production Predicting processing through production Digitised milk composition - new dairy streams Future work
20 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!
21 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
22 Further Valorisation of Milk Digital Dairy: Animal Breed, Milk Compositional and Technological Traits for Functional Ingredients with Health Benefits
23 Digital Dairy Introduction Sensor and ICT for SMART Dairy production Predicting processing through production Digitised milk composition - new dairy streams Future work
24 Food Quality & Sensory International Sensory Evaluation e.g., Cheese for China / Meat for China Fujian Agriculture and Forestry University, China
25 Milk Composition (nutrition) for Sports Applications
26 FutureMilk Centre Prof. Donagh Berry
27 Research Programme FutureMilk Milk by Design
28 Digital Dairy - Next Generation Milk from integrating ICT platforms with Pasture / Cow / Dairy Products Animal Breeding Animal & Pasture Research Pasture Dairy Research Quality & Safety Milk Chemistry Field & Production Sustainable Systems Processing Laboratory & Pilot Plant
29 Thank You! Alan O Riordan Noel McCarthy Mark Auty Aoife Buggy John Tobin Andre Brodkorb Eoin Murphy
30 Multiplatform sensors predicting at the molecular level - optimised composition for development of tailored milks for Export What is the Future for Milk?
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