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Using big data to help feed the world
Private and confidential
Who are Proagrica
Proagrica, the global agricultural division of RELX, drives growth and improves efficiency by
delivering high-value insight and data, critical tools and advanced technology solutions
570 million Farms, 25 million Tractors, 50
billion chickens, 1 billion sheep, 1 billion
pigs, 80 million turkeys, 1.5 billion cows
in the world with 100% of them with
passports in the UK vs 36% of the US
population….
…and Big Brother / Data is here, for
Animals at least as they are all being
monitored / reporting data
Agriculture is at the Centre of Global Change
How could data help?
Precision Agri: Our Data Landscape / Assets
Vast amounts of data spread across the Agricultural landscape. Proagrica is consolidating,
organising and enhancing this data to help drive value across the entire industry, from the
farm gate all the way to the super market shelf
Farm Machinery
Every piece of equipment on the
farm is now generating data and
wants to be precise
Agronomist
Providing farm advice, shape files
and data to farmers
Manufacturers & Distributors
Adaptris manages supply chain
connectivity between MFRS and
their Distributors
Weather Data
Global current and historical
weather and soil moisture data at
sub-field level
Farm Management Information
Systems (FMIS)
A wide spectrum of tools used by
Farmers all generating data
Satellites / Drones
Ability to identify yield and crop
issues from space / drones
Sensors
Ground and animal sensors
measuring everything from
animal fertility to soil moisture
Soil
Global soil type horizons
An overview of the approach
ProAgrica HPCC Platform
What does it deliver?
▶ Global insight through fully integrated ESB data,
Data As A Service and a range of Analytics tools
▶ An agile, scalable, resilient and secure platform that
can consume data from any source, consolidate,
enrich and expose global agricultural data from
everything soil to animals and all the way to satellites
▶ Precision Ag covering the full Ag value chain from
Mfr, through Agronomist, CO-OP, Farmer and
Distributor
▶ A range of Analytics solutions focused on Pesticides,
Herbicides, Fertilizers, Seeds, Cattle, Milk, etc. that
provide insight at market, region, farm, field and sub-
field levels
▶ Enabling the industry to increase yield and
profitability whilst reducing inputs and improving
environmental impact
Patterns of OSR using Principal Component Analysis
▶ Why was the 2016 harvest in the UK so awful?
▶ What correlates to higher yields?
▶ How effective are pesticides?
▶ Are hybrids better?
A few gotchas……..
▶ Correlation doesn’t equal causation……..
▶ Some unusal yields ……….
Maximum yield:
36,784,867 kg/ha
A few gotchas……..
▶ Some unusal yields ……….
Maximum yield:
36,784,867 kg/ha
A few gotchas……..
▶ Growers aren’t very skilled at data entry
Planted Seed Variety
DK Excaliber
DK Excalibur
Excalibur + Coating
Excalibur Stock
Excalibur and Catana
Rolled
OSR + 15:10:28
Planted Seed Variety
Excalibur
Excalibur
Excalibur
Excalibur
Other
Other
Other
How has yield varied over the last 10 years?
▶ Average yield is 3,766 kg/ha
The spread in yield
3,750 kg/ha
5,250 kg/ha
2,250 kg/ha
▶ Most growers are within 1,496 kg/ha of the average
…. But this isn’t constant!
Could it be related to variety choice?
Popularity of hyrid varieties by location
Variety trait differences by location
How do we visualise the data?
▶ Over 150 pairs of variables to investigate
▶ No idea what is linked before we start……
What’s this 2D picture of a 3D object?
How about now?
How to read the graphs
Two variables
that are high
at the same
time
How to read the graphs
Two variables
that are high
at opposite
times
How to read the graphs
Two variables that
have nothing to do
with each other
The market for OSR varieties
What causes variation in yield – it’s a similar story
▶ Degree days
▶ Fertiliser treatments
▶ Fungicide treatments
▶ Insecticide treatments
▶ Month of first insecticide application
▶ High wind events
▶ Temperatures
▶ Average rainfall
▶ Coldest week
▶ Total radiation
▶ Wettest weeks
▶ Driest weeks
▶ Soil moisture
▶ Precipitation
▶ Lattitude & Longitude
▶ Soil content
Overall, what correlates with a high yield?
Warm winters
Dry springs
Warm
summers
Fertilisers not needed?
Larger and
Northern?
2016
2015
The answers………..
▶ Why was the 2016 harvest in the UK so awful?
▶ Wet spring and/or dry winter
▶ What correlates to higher yields?
▶ Warm spring, wet winters and proper pesticide application
▶ How effective are pesticides?
▶ Yes for fungicide, “perhaps” for insecticide
▶ Are hybrids better?
▶ Not really
Take home messages
▶ If you’re a farmer
▶ There are probably too many varieties of OSR in the world!
▶ OSR does better in wet springs and warm winters
▶ If you’re in to analytics
▶ Working with big data is a lot of fun
▶ Dimension reduction is great for picking out correlations in
complex data
Over 3,600 integrated agricultural customers

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Proagrica - Big Data to Feed the World

  • 1. Using big data to help feed the world Private and confidential
  • 2. Who are Proagrica Proagrica, the global agricultural division of RELX, drives growth and improves efficiency by delivering high-value insight and data, critical tools and advanced technology solutions
  • 3. 570 million Farms, 25 million Tractors, 50 billion chickens, 1 billion sheep, 1 billion pigs, 80 million turkeys, 1.5 billion cows in the world with 100% of them with passports in the UK vs 36% of the US population…. …and Big Brother / Data is here, for Animals at least as they are all being monitored / reporting data
  • 4. Agriculture is at the Centre of Global Change
  • 6. Precision Agri: Our Data Landscape / Assets Vast amounts of data spread across the Agricultural landscape. Proagrica is consolidating, organising and enhancing this data to help drive value across the entire industry, from the farm gate all the way to the super market shelf Farm Machinery Every piece of equipment on the farm is now generating data and wants to be precise Agronomist Providing farm advice, shape files and data to farmers Manufacturers & Distributors Adaptris manages supply chain connectivity between MFRS and their Distributors Weather Data Global current and historical weather and soil moisture data at sub-field level Farm Management Information Systems (FMIS) A wide spectrum of tools used by Farmers all generating data Satellites / Drones Ability to identify yield and crop issues from space / drones Sensors Ground and animal sensors measuring everything from animal fertility to soil moisture Soil Global soil type horizons
  • 7. An overview of the approach
  • 9. What does it deliver? ▶ Global insight through fully integrated ESB data, Data As A Service and a range of Analytics tools ▶ An agile, scalable, resilient and secure platform that can consume data from any source, consolidate, enrich and expose global agricultural data from everything soil to animals and all the way to satellites ▶ Precision Ag covering the full Ag value chain from Mfr, through Agronomist, CO-OP, Farmer and Distributor ▶ A range of Analytics solutions focused on Pesticides, Herbicides, Fertilizers, Seeds, Cattle, Milk, etc. that provide insight at market, region, farm, field and sub- field levels ▶ Enabling the industry to increase yield and profitability whilst reducing inputs and improving environmental impact
  • 10. Patterns of OSR using Principal Component Analysis ▶ Why was the 2016 harvest in the UK so awful? ▶ What correlates to higher yields? ▶ How effective are pesticides? ▶ Are hybrids better?
  • 11. A few gotchas…….. ▶ Correlation doesn’t equal causation…….. ▶ Some unusal yields ………. Maximum yield: 36,784,867 kg/ha
  • 12. A few gotchas…….. ▶ Some unusal yields ………. Maximum yield: 36,784,867 kg/ha
  • 13. A few gotchas…….. ▶ Growers aren’t very skilled at data entry Planted Seed Variety DK Excaliber DK Excalibur Excalibur + Coating Excalibur Stock Excalibur and Catana Rolled OSR + 15:10:28 Planted Seed Variety Excalibur Excalibur Excalibur Excalibur Other Other Other
  • 14. How has yield varied over the last 10 years? ▶ Average yield is 3,766 kg/ha
  • 15. The spread in yield 3,750 kg/ha 5,250 kg/ha 2,250 kg/ha ▶ Most growers are within 1,496 kg/ha of the average
  • 16. …. But this isn’t constant!
  • 17. Could it be related to variety choice?
  • 18. Popularity of hyrid varieties by location
  • 20. How do we visualise the data? ▶ Over 150 pairs of variables to investigate ▶ No idea what is linked before we start……
  • 21. What’s this 2D picture of a 3D object?
  • 23. How to read the graphs Two variables that are high at the same time
  • 24. How to read the graphs Two variables that are high at opposite times
  • 25. How to read the graphs Two variables that have nothing to do with each other
  • 26. The market for OSR varieties
  • 27. What causes variation in yield – it’s a similar story ▶ Degree days ▶ Fertiliser treatments ▶ Fungicide treatments ▶ Insecticide treatments ▶ Month of first insecticide application ▶ High wind events ▶ Temperatures ▶ Average rainfall ▶ Coldest week ▶ Total radiation ▶ Wettest weeks ▶ Driest weeks ▶ Soil moisture ▶ Precipitation ▶ Lattitude & Longitude ▶ Soil content
  • 28. Overall, what correlates with a high yield? Warm winters Dry springs Warm summers Fertilisers not needed? Larger and Northern? 2016 2015
  • 29. The answers……….. ▶ Why was the 2016 harvest in the UK so awful? ▶ Wet spring and/or dry winter ▶ What correlates to higher yields? ▶ Warm spring, wet winters and proper pesticide application ▶ How effective are pesticides? ▶ Yes for fungicide, “perhaps” for insecticide ▶ Are hybrids better? ▶ Not really
  • 30. Take home messages ▶ If you’re a farmer ▶ There are probably too many varieties of OSR in the world! ▶ OSR does better in wet springs and warm winters ▶ If you’re in to analytics ▶ Working with big data is a lot of fun ▶ Dimension reduction is great for picking out correlations in complex data
  • 31. Over 3,600 integrated agricultural customers