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Helping Farmers Feed the World With APIs and Data
Stewart Collis, aWhere
Jeof Oyster, aWhere
Food Production
Weather Variability Population Growth
1ºC warming of the atmosphere triples weather
variance
for agriculture this means food insecurity and risk
Cold
Sink
Heat
Source
Heat
Engine
QH – QC = W (work output)
heat input heat output
Weather Variability
Population Increase
7.2 Billion
9.6 Billion
Less developed countries
More developed countries
Population
In billions
Population Growth and Food Demand
By 2050, our population will gain another 2.4 billion
people Source: United Nations Dept of Economic and Social Affairs
That means, in just 34 growing seasons, the world’s
580 million farmers must feed 9.6 billion while facing:
Increased Weather Variability rendering traditional practices ineffective
Information Gap lack of adequate data across the value chain
Lack of Field-Level insight to prevent risk and improve production
The Global Food Challenge
aWhere
Agricultural intelligence business since 1999
Cloud-based big data and analytics for agriculture
Long-term customers and growing
Deliver the best agricultural information every day,
globally
Weather Terrain™
Data every few kilometers
• 1.6 million surface points
• + Customer points
• A billion points daily
Forecast
• 8 days of hourly forecast (updated 4x daily)
Observed (20 years)• Precipitation
• Min/Max Temperature
• Min/Max Relative Humidity
• Max/Mean Windspeed
• Solar Radiation
Embu, Kenya
Panchagarh, Bangladesh
Data Sources
Ground
Doppler
Weather Stations
and Sensors
Satellite
Field
Observations
ModelsForecast, Pest,
Disease, Growth Stage
Global Perspective Field InsightRisk aWhere Weather
aWhere
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Risk aWhere combines data from
both Weather Terrain™ and global
agricultural commodity sources and
Weather aWhere field data to
produce market risk management
insights and recommendations that
are timely, robust and relevant.
Using global daily data (from
weather satellites, ground
observations, radar, spectral imagery,
weather forecast etc.) as input to
agronomic models we can monitor
any crop planting and provide field
specific recommendations, alerts
and predictions.
Weather• Daily Forecast
• Short Term Forecast
Advanced Weather
• Accumulations
• Trends
• Seasonal Comparisons
Agronomic• Harvest Planning
• Pest & Disease Alerts
• Predicted Yields
• Agronomic Actions
Agro-economic• Pre-season planning
• Market Options
• Commodity Trading Options
Weather Agronomics™
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Basic
Advanced
Use CasesApplications of aWhere Technology
Weather Variability
By knowing to
wait 15 days to plant
her corn, a farmer in Uganda misses a
drought period
and increases her yield by 3X
Predictive Analytics
A commercial vegetable grower
receives
real-time harvest date
predictionsand modifies his labor and harvesting
schedule
to reduce crop loss by 25%
Pest and Disease Models
A farmer receives an SMS alert
about Rice Blast Fungus with a recommendation to fertilize
within
7 days and prevents the disease
producing a 30 bushel surplus
Food Security, Commodity Risk
Using Data for Risk Analyses of
Production, Marketsand Food Security for specific crops like
rice, sugar, coffee, cocoa and others
Small Holder Farmers
Working with local partners to push
personalized agronomic tips
to farmers via
SMS, Voice and Mobile Apps
supported with Call Center Apps
Farmers are equipped to make
better growing decisions
Data Analytics : Targeted Information
Ground
Doppler
Weather Stations
and Sensors
Satellite
Field
Observations
ModelsForecast, Pest,
Disease, Growth Stage
Location
Specific
Increased Yield
and Quality
Increase
Incomes
Healthy, Robust
Populations
Last Word from a Farmer
