Digitalization to transform
farmer's Productivity & Profits
Contents
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Why Digitalization
How
What: Use Cases
Challenges
2
Why ?
Organization
Markets
Data available to farmers
for informed decisions but
also about farmers for
enabling targeted solutions.
New markets open up when
farmer-owned businesses can
proof product origin, through
opportunities for certification
Finance
Production
Inputs in agriculture and
investment in sustainability
depend on finance, which
for smallholders has been
limited if not non-existent.
Farmer data generated on-farm
or off-farm can inform services
to farmers that allow targeted
production information eg alert
on risks or extension information
3
HOW
https://www.cropscience.ba
yer.com/en/stories/2014/dig
ital-farming-bit-by-bit
Autonomous systems
Why drones?
Missing
geospatial
data
Efficiency
Local Data
Production
Timeliness
Precision
Safety
Drones vs planes and satellites
Typical spatial resolutions:
between 1 km to 30 cm
Resolution
Efficiency
Coverage
Efficiency
LOW
HIGH
Earth observation satellites
400 to 1000 km altitude
(LEO – low earth orbit)
Typical spatial resolutions:
between 50 cm to 5 cm
Airborne – 400 to 2000 m altitude
Typical spatial resolutions:
between 10 cm to 1 cm
UAV – 50 to 150 m altitude
HIGH
Area of interest
LOW
Efficiency and Costs
Costs for UAV, Aircraft and Satellite vs covered area
Satelite
Aircraft
Drone
covered area
Different types of drone
Multi-rotors
Fixed-wing
VTOL
Underwater
Different types of drone
Flight Time*
20 min
45 min
Area cover
5-20 ha
50-100 ha
Resolution
1- 5 cm
2-20 cm
* Time spent acquiring data
Cost of drones
Different sensors
Basic: RGB
Advanced:
Multispectral / Thermal
Multispectral
Principle
Data
It’s not about the Robots
Drone
Community &
stakeholders
engagement
Data
Data Products
2D output
results
Orthomosaics
Google tiles
Data Products
2D output
results
Index maps (Thermal, DVI, NDVI, SAVI, etc.)
Prescription maps
Data Products
2.5D output results
Image source: Pix4D Support
DSMs and DTMs
What: Use Cases
Maize Pre- Harvest Loss Project
4000 Hectares
3 villages
in Chemba Dodoma
Dodoma: Maize
Land certificates
Igara Tea & NUCAFE
Accurate mapping,improved crop logistics
and product marketing.
As a result, farmers have improved yields
due to reliable agronomic advice and
affordable financial services
Data leads to bigger profits:
Traceability gains for coffee farmers
in Uganda
Challenges
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Requirements of investment for collection and verification of data
than can unlock access to finance
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Farmers are the first investors
afgoesdigital.com/
Experience Capitalization: 2019
Rose Funja
@agrinfotz @rhysrose rose.funja@agrinfo.co.tz