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Expectations from Insurance Industry:
Innovative approaches and
Technologies under PMFBY
Ashok K Yadav
Agriculture Insurance Co. of India Ltd.
2
PMFBY - Key Features
 Premium rates for farmers: Kharif 2%, Rabi 1.5% and AC/AH Crops - 5%
 Sum Insured – District Level Technical Committee approved Scale of
Finance
 Covers all Food crops, Oilseeds & Annual Commercial/Annual
Horticultural Crops
 Available to all Farmers - compulsory for borrowing & optional for non-
borrowing
 Scheme operates on Area approach for wide spread calamity viz drought
 Individual farm level loss assessment for Hailstorm, Landslide and
Inundation damages
 Covers Post harvest losses at individual farm level for crop left in ‘cut &
spread’ for drying due to cyclonic and unseasonal rains
 Covers prevented/failed sowing
 Provision for on-account payment in case of mid season calamities to
crops
PMFBY Guidelines
The scheme emphasises on “Use of Innovative
Technologies” for the implementation of the
scheme.
Technologies mentioned are:
1. Smart phones (Mobile app) /hand held devices
2. Remote sensing technology (satellite imagery)
3. Digitization of land records
4. Digitization of cadastral map
5. UAVs
Expectations from Insurance Industry
• Detailed Information easily accessible:
 Notification
 Premium Calculation
• Farmers’ enrolment :
 Online
 Through App
• Upload Individual farmer insurance data on Agri-
Insurance portal / Co. portal:
Cover Note
Various Reports
Expectations from Insurance Industry
• Use RST for :
Acreage Estimation
Sowing Failure
Crop Monitoring
Mid-season Adversity (On-Account Payment)
Yield Estimation – Smart Sampling, etc.
• Individual field assessment : using RST , UAVs
Localised Calamities
Post-Harvest Losses
• CCE witnessing through mobile App / smart phone
• Prompt Claim Assessment and settlement
electronically
Initiatives taken during Kharif 2016
Government:
• MoAFW: CCE Agri Android based mobile app for
conducting CCEs
• Real time data transfer to MoAFW Agri-Insurance portal
• Adopted partially by few states viz: AP, BR, GJ, JHK,
MH, UP, WB, etc
• Insurance companies used Mobile App for CCE
witnessing and individual loss assessment
• Satellite imagery for area estimation and crop monitoring
• UAV for crop monitoring
PMFBY – technology scenario
• Its doable and technology is available.
• All the suggested technology interventions experimented
– Wheat insurance (NDVI based )
– Mobile app for CCE auditing
– Acreage estimation
– Satellite imagery and smart sampling FOR CCEs
– Village Level Index Insurance , Maharashtra (RST, UAV
plus yield models)
– Remote Sensing-Based Information and Insurance for
Crops in Emerging Economies (RIICE): Tamil Nadu
– Mobile app, geo tagging, loss classification - Karnataka
Expectations of Insurance Industry
• Standardisation of proxy-indicators and guidelines viz.
remote sensed data and other auxiliary variables
• Capacity building
• Awareness/ Training to stakeholders
• Coordination between States and Institutions
• Integrated and Centralised data bases and information
products with access to stakeholders
• Proactive approach for building agricultural intelligence
• Setting up Certification Agency for data authentication
Suggestions
• Use model derived data from Product
development to Claim settlement
• Categorization of losses: Low, Medium, High,
Extreme and claim settlement accordingly
• These may be Piloted in few districts
• Research projects to the S&T institutions to
meet the medium and long term
requirements
Thank you

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IFPRI-Expectations from the Insurance Industry-Ashok Yadav

  • 1. Expectations from Insurance Industry: Innovative approaches and Technologies under PMFBY Ashok K Yadav Agriculture Insurance Co. of India Ltd.
  • 2. 2 PMFBY - Key Features  Premium rates for farmers: Kharif 2%, Rabi 1.5% and AC/AH Crops - 5%  Sum Insured – District Level Technical Committee approved Scale of Finance  Covers all Food crops, Oilseeds & Annual Commercial/Annual Horticultural Crops  Available to all Farmers - compulsory for borrowing & optional for non- borrowing  Scheme operates on Area approach for wide spread calamity viz drought  Individual farm level loss assessment for Hailstorm, Landslide and Inundation damages  Covers Post harvest losses at individual farm level for crop left in ‘cut & spread’ for drying due to cyclonic and unseasonal rains  Covers prevented/failed sowing  Provision for on-account payment in case of mid season calamities to crops
  • 3. PMFBY Guidelines The scheme emphasises on “Use of Innovative Technologies” for the implementation of the scheme. Technologies mentioned are: 1. Smart phones (Mobile app) /hand held devices 2. Remote sensing technology (satellite imagery) 3. Digitization of land records 4. Digitization of cadastral map 5. UAVs
  • 4. Expectations from Insurance Industry • Detailed Information easily accessible:  Notification  Premium Calculation • Farmers’ enrolment :  Online  Through App • Upload Individual farmer insurance data on Agri- Insurance portal / Co. portal: Cover Note Various Reports
  • 5. Expectations from Insurance Industry • Use RST for : Acreage Estimation Sowing Failure Crop Monitoring Mid-season Adversity (On-Account Payment) Yield Estimation – Smart Sampling, etc. • Individual field assessment : using RST , UAVs Localised Calamities Post-Harvest Losses • CCE witnessing through mobile App / smart phone • Prompt Claim Assessment and settlement electronically
  • 6. Initiatives taken during Kharif 2016 Government: • MoAFW: CCE Agri Android based mobile app for conducting CCEs • Real time data transfer to MoAFW Agri-Insurance portal • Adopted partially by few states viz: AP, BR, GJ, JHK, MH, UP, WB, etc • Insurance companies used Mobile App for CCE witnessing and individual loss assessment • Satellite imagery for area estimation and crop monitoring • UAV for crop monitoring
  • 7. PMFBY – technology scenario • Its doable and technology is available. • All the suggested technology interventions experimented – Wheat insurance (NDVI based ) – Mobile app for CCE auditing – Acreage estimation – Satellite imagery and smart sampling FOR CCEs – Village Level Index Insurance , Maharashtra (RST, UAV plus yield models) – Remote Sensing-Based Information and Insurance for Crops in Emerging Economies (RIICE): Tamil Nadu – Mobile app, geo tagging, loss classification - Karnataka
  • 8. Expectations of Insurance Industry • Standardisation of proxy-indicators and guidelines viz. remote sensed data and other auxiliary variables • Capacity building • Awareness/ Training to stakeholders • Coordination between States and Institutions • Integrated and Centralised data bases and information products with access to stakeholders • Proactive approach for building agricultural intelligence • Setting up Certification Agency for data authentication
  • 9. Suggestions • Use model derived data from Product development to Claim settlement • Categorization of losses: Low, Medium, High, Extreme and claim settlement accordingly • These may be Piloted in few districts • Research projects to the S&T institutions to meet the medium and long term requirements