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Delivering information products to
small-scale farmers: IRRI's
experience with the Crop Manager
Roland J. Buresh, Rowena Castillo, and
Marco van den Berg
International Rice Research Institute (IRRI),
Philippines

Remote Sensing Workshop
CIMMYT, Mexico City
14-15 December 2013
Farming on small land holdings is often
associated with high spatial and temporal
variations

Variations are common in
• Crop management
• Risks of flood and drought
• Soil fertility
• Financial resources of farmers
• Access to new technologies
Need cost effective ways to
• Provide farmers with
‘actionable’ information
matching their specific
needs
Our objective
Develop computer- and smartphone-based tools
for providing small-scale farmers of rice, maize,
and wheat with customized, field-specific crop and
nutrient management guidelines.

Our approach
• Use best available science to develop tools.
• Verify and release through national agricultural
research and extension systems.
• Ensure availability for wide-scale use across
public and private sectors and civil society
organizations.
IRRI developed Nutrient Manager for Rice
to provide rice farmers with ‘precise’
fertilizer management practices
• Uses scientific principles
of site-specific nutrient
management (SSNM)
• Aims to increase income
of farmer by US$100 per
ha per crop
• Provides customized
recommendation for a
farmer’s field through
mobile phone or
computer
Partners and users requested a tool providing
more than nutrient management
Nutrient Manager for Rice was
upgraded Rice Crop Manager
Released nationwide in the Philippines and
Bangladesh in 2013 through the national agricultural
research and extension systems

http://webapps.irri.org/ph/rcm

http://webapps.irri.org/bd/rcm

Indonesia – Nationwide release expected in early 2014
Crop Manager is under development and
testing for a number of countries
Beta versions now undergoing field testing in South Asia
• Rice–wheat in
Bihar and eastern
Uttar Pradesh
• Maize in
Bangladesh
• Rice in Odisha

Maize for Bihar and
Odisha will be developed
and tested in 2014
Operation of Crop Manager
Smartphone

Personal computer

User interface:
Obtain information
from farmer

Cloud based server
Crop Manager model

• Variety traits
• Statistics on rice yields
• Variety- and managementadjusted yield targets

• Nutrient management
calculator
• Decision making
calculator for crop
management

Actionable
advice

Databases and spatial
information

Printed
guidelines

Image on
Smartphone

SMS
1. User interface: Obtain information from farmer

An extension worker, crop
advisor, or service provider
interviews a farmer.
Information from interview
• Location
• Variety
• Field size
• Sowing/planting date
• Past yield
• Soil characteristic
• Landscape position
• Residue management
• Irrigation use
2. Calculate customized recommendation
Smartphone

Personal computer

User interface:
Obtain information
from farmer

Cloud based server
Crop Manager model
• Nutrient management
calculator
• Decision making
calculator for crop
management

Databases and spatial
information
• Variety traits
• Statistics on rice yields
• Variety- and managementadjusted yield targets

After the interview, collected information is transmitted to
‘model’ residing on a cloud based server and interfaced with
databases and spatial information.
3. Actionable
advice
Recommendations provided
to farmers through printouts
and mobile phones.
• Nutrient management
- Source, rates, and times
for field size
- N timing adjusted for
water availability

• Crop establishment
- Seed source
- Seed rate

• Crop protection
- Weed management
- Insect management

• Irrigation
Greatest uncertainties with information
from farmer interview

Information from interview
• Location
• Variety
• Field size
• Sowing/planting date
• Past yield
• Soil characteristic
• Landscape position
• Residue management
• Irrigation use

Crop yields and field sizes
provided by farmers are
often inaccurate
Valuable information
needed from sources in
addition to a farmer:
•Target yield for upcoming
season
•Field size
Future development of Crop Manager
Smartphone

Personal computer

User interface:
Obtain information
from farmer

Cloud based server

Databases and spatial
information

Climate
adaptation
and GHG
calculators

• Variety traits
• Statistics on rice yields
• Variety- and managementadjusted yield targets
• Climate-adjusted yield targets
• Within-season crop
performance and weather
associated risks

Crop Manager model
• Nutrient management
calculator
• Decision making
calculator for crop
management

Actionable
advice

Printed
guidelines

Image on
Smartphone

SMS
Process of providing advice to farmers

Interview farmer
before season
Climate-adjusted
yield targets

Pre-season
recommendation

Within-season crop performance and
weather associated risks

SMS or voice messaging service

Cropping season
Future opportunities
• Use climate-and management-adjusted yield targets,
for enhancing pre-season recommendations
• Use within-season information on crop performance
and weather associated risks, for enhancing withinseason adjustments in management
• Use remote sensing to verify field sizes, for
enhancing use efficiencies of inputs

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Delivering information products to small-scale farmers: IRRI's experience with the Crop Manager

  • 1. Delivering information products to small-scale farmers: IRRI's experience with the Crop Manager Roland J. Buresh, Rowena Castillo, and Marco van den Berg International Rice Research Institute (IRRI), Philippines Remote Sensing Workshop CIMMYT, Mexico City 14-15 December 2013
  • 2. Farming on small land holdings is often associated with high spatial and temporal variations Variations are common in • Crop management • Risks of flood and drought • Soil fertility • Financial resources of farmers • Access to new technologies Need cost effective ways to • Provide farmers with ‘actionable’ information matching their specific needs
  • 3. Our objective Develop computer- and smartphone-based tools for providing small-scale farmers of rice, maize, and wheat with customized, field-specific crop and nutrient management guidelines. Our approach • Use best available science to develop tools. • Verify and release through national agricultural research and extension systems. • Ensure availability for wide-scale use across public and private sectors and civil society organizations.
  • 4. IRRI developed Nutrient Manager for Rice to provide rice farmers with ‘precise’ fertilizer management practices • Uses scientific principles of site-specific nutrient management (SSNM) • Aims to increase income of farmer by US$100 per ha per crop • Provides customized recommendation for a farmer’s field through mobile phone or computer Partners and users requested a tool providing more than nutrient management
  • 5. Nutrient Manager for Rice was upgraded Rice Crop Manager Released nationwide in the Philippines and Bangladesh in 2013 through the national agricultural research and extension systems http://webapps.irri.org/ph/rcm http://webapps.irri.org/bd/rcm Indonesia – Nationwide release expected in early 2014
  • 6. Crop Manager is under development and testing for a number of countries Beta versions now undergoing field testing in South Asia • Rice–wheat in Bihar and eastern Uttar Pradesh • Maize in Bangladesh • Rice in Odisha Maize for Bihar and Odisha will be developed and tested in 2014
  • 7. Operation of Crop Manager Smartphone Personal computer User interface: Obtain information from farmer Cloud based server Crop Manager model • Variety traits • Statistics on rice yields • Variety- and managementadjusted yield targets • Nutrient management calculator • Decision making calculator for crop management Actionable advice Databases and spatial information Printed guidelines Image on Smartphone SMS
  • 8. 1. User interface: Obtain information from farmer An extension worker, crop advisor, or service provider interviews a farmer. Information from interview • Location • Variety • Field size • Sowing/planting date • Past yield • Soil characteristic • Landscape position • Residue management • Irrigation use
  • 9. 2. Calculate customized recommendation Smartphone Personal computer User interface: Obtain information from farmer Cloud based server Crop Manager model • Nutrient management calculator • Decision making calculator for crop management Databases and spatial information • Variety traits • Statistics on rice yields • Variety- and managementadjusted yield targets After the interview, collected information is transmitted to ‘model’ residing on a cloud based server and interfaced with databases and spatial information.
  • 10. 3. Actionable advice Recommendations provided to farmers through printouts and mobile phones. • Nutrient management - Source, rates, and times for field size - N timing adjusted for water availability • Crop establishment - Seed source - Seed rate • Crop protection - Weed management - Insect management • Irrigation
  • 11. Greatest uncertainties with information from farmer interview Information from interview • Location • Variety • Field size • Sowing/planting date • Past yield • Soil characteristic • Landscape position • Residue management • Irrigation use Crop yields and field sizes provided by farmers are often inaccurate Valuable information needed from sources in addition to a farmer: •Target yield for upcoming season •Field size
  • 12. Future development of Crop Manager Smartphone Personal computer User interface: Obtain information from farmer Cloud based server Databases and spatial information Climate adaptation and GHG calculators • Variety traits • Statistics on rice yields • Variety- and managementadjusted yield targets • Climate-adjusted yield targets • Within-season crop performance and weather associated risks Crop Manager model • Nutrient management calculator • Decision making calculator for crop management Actionable advice Printed guidelines Image on Smartphone SMS
  • 13. Process of providing advice to farmers Interview farmer before season Climate-adjusted yield targets Pre-season recommendation Within-season crop performance and weather associated risks SMS or voice messaging service Cropping season
  • 14. Future opportunities • Use climate-and management-adjusted yield targets, for enhancing pre-season recommendations • Use within-season information on crop performance and weather associated risks, for enhancing withinseason adjustments in management • Use remote sensing to verify field sizes, for enhancing use efficiencies of inputs