1. Weather Risk Technology Assistance for Rural Development Weather Risk Management Services Pvt. Ltd.

2. Weather Risk 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

3. Weather Risk Case of Khapa: A village in Betul (MP) Current StatusPotentialValue that can be unlockedRestraining factors Cultivable land utilization rate (in a season) 20% (Total land available for agriculture- 250 hectares) 100% (250 hectares) A multiplier of 5 timesWater, Technical know- how, Land development Productivity1150 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 know- how, risk management (uncontrollable contingencies) No. of crops per year231.5 times Sale priceWheat:5Rs/kg Paddy:6 Rs/kg Wheat: Rs 8 /kg; Rice:12 Rs. Per kg; garlic: 15 Rs. Per kg An average multiplier of 1.5- 2 times Storage, transportation, market information Value of agri –Production (in Rs mn) Rs.0.6 mnRs.52 mn50-60 times Enhancing Productivity and Cultivability Role for Technology (soft and hard know- how)

4. Weather Risk Web National Krishi resources Radio Study Hall Or Sharamik Bharti Study Hall Or Sharamik Bharti Mobile DEAL INDIA Info mediation ontology based Processing DEAL INDIA Info mediation ontology based Processing International Agriculture resources KVK SAMETI ICAR Central Research Institutes Other NGO’s Other NGO’s Deployment Partners Rural Citizen TV Performance Creating a Knowledge Grid for efficient distribution of soft-Know-how Essential features Exploit intra- community know-how Information to also flow out of the villages

5. Weather Risk Requirements for Technology Delivery – Hard know-how (To be expanded) ● Corporate Farming ● Rural Infrastructure projects

6. Weather Risk 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)

7. Weather Risk 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

8. Weather Risk Examples :Creating Real Time Data Network ● 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 ● Statistical & Neural Network model ● Geographic Calibration ● Generating current weather data and forecast through the network of indigenous sensors Processing of data received from sensors and converting it according to specific product On Site wireless Sensors Farmers Console (GIS)

9. Weather Risk 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

10. Weather Risk 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

11. Weather Risk 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

12. Weather Risk computer vision/aerial imaging aerial image mosaicing aerial image registration  Mosaic generated from images taken from UAV of IITK campus (Courtsey Aurora Integrated Systems)

13. Weather Risk 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

14. Weather Risk Thank You