Weather Risk
Technology Assistance for Rural
Development
Weather Risk Management
Services Pvt. Ltd.
Agenda
● Next leap of rural economy
● Enhance Productivity & Cultivability
● Role of Technology
● Production technology
● Knowledge input
● Enhance Market Access
● Role of Technology
● Improve Processes
● Remove information asymmetry and credibility
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Enhancing Productivity and Cultivability
Case of Khapa: A village in Betul (MP)
Role for Technology
(soft and hard knowhow)
Value that can be unlocked
Restraining factors
Current Status
Potential
Cultivable land utilization
rate (in a season)
20% (Total land
available for
agriculture- 250
hectares)
100% (250
hectares)
A multiplier of 5 times
Water, Technical knowhow, Land development
Productivity
1150 kg/h – Wheat,
1250 kg/h, (Paddy,
maize)
8000 kg/h – Wheat,
6000 kg/h
(Paddy),6000 kg/h
- garlic
An average multiplier of 4.5
times
Water, Technical knowhow, risk management
(uncontrollable
contingencies)
No. of crops per year
2
3
1.5 times
Sale price
Wheat:5Rs/kg
Paddy:6 Rs/kg
Wheat: Rs 8 /kg;
Rice:12 Rs. Per kg;
garlic: 15 Rs. Per
kg
An average multiplier of 1.52 times
Value of agri –Production
(in Rs mn)
Rs.0.6 mn
Rs.52 mn
50-60 times
Storage, transportation,
market information
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Creating a Knowledge Grid for efficient distribution of soft-Know-how
Central Research
Institutes
KVK SAMETI
National Krishi
resources
•Exploit intracommunity know-how
•Information to also
flow out of the
villages
Web
Radio
Study Hall
Or Sharamik
Bharti
Other
NGO’s
Citizen
DEAL INDIA
Info mediation
ontology based
Processing
International
Agriculture
resources
• Essential features
Mobile
Rural
ICAR
TV
Performance
Deployment
Partners
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Requirements for Technology Delivery –
Hard know-how (To be expanded)
● Corporate Farming
● Rural Infrastructure projects
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Enhance Market Access
● Enable access to new markets
● Technology Assistance to remove information
asymmetry and credibility issues
●Examples from Insurance
●Examples from Banking
● Improve Processes (To be expanded)
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Examples: Agriculture Insurance
● Weather Insurance
● Indemnity of losses due to abnormal weather event, e.g.
excess/deficit rainfall, hail
● Claims settled based on transparent weather data
recorded at meteorological stations
● Expedites claim settlement
● Satellite Imagery based Insurance
● Claims settled based on satellite based vegetative indices
● Interim claim settlement
Weather Risk
Examples :Creating Real Time Data
Network
Processing of data received
from sensors and converting
it according to specific
product
On Site wireless Sensors
● Covering important agricultural
zones real time, at a cost of
approx. Rs.500 per sq.km or
Rs.1 pr ha
● Generation of Historical records
for any given long.- lat. Position
●
●
Farmers Console (GIS)
Statistical & Neural Network
model
Geographic Calibration
● Generating current weather
data and forecast through the
network of indigenous
sensors
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Health & Livestock Insurance
● Intricate sensors transmit
information on possible
irregularities in advance
● Reduces overall cost
● Biometric sensors can
transmit information on
health parameters
● Information can be relayed
through a GSM network
● Possible applications in
settlement of livestock &
Health claims
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Disaster Insurance
● Improved & Precise Cat Models
● From Earthquake Zones to now ZIP code based
modeling
● Predicting Asset and post disaster economic losses due
to a model
● Agencies estimate losses post-disaster, based on
models
● Settlements based on these estimates, instead of time
consuming verification of actual losses
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Disaster Management
● Reconnaissance information relayed to ground control for post disaster
missions
● Damage Assessment
● Aid to relief missions
● Establishment of airborne communication setup for inaccessible areas
● Cost Implications
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computer vision/aerial imaging

Mosaic generated from images taken from UAV of IITK campus
(Courtsey Aurora Integrated Systems)
aerial image mosaicing
aerial image registration
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Requirements for Successful TA
● Should be linked to an appropriate business model
● Recognize the S-curve issues in technology related
to financial markets
● Pilots to be based on an average case scenario
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Thank You
Weather Risk