Agricultural Insurance Training Course

Participants can compare agricultural insurance products and select suitable coverage structures for defined risks.

• Named-peril crop cover: insured causes, exclusions, deductibles, and limits
• Multi-peril crop insurance design and yield guarantee structures
• Area-yield insurance using district production benchmarks and trigger calculations
• Weather-index insurance: rainfall, temperature, vegetation, and wind indices
• Livestock mortality, epidemic disease, and aquaculture insurance cover
• Parametric triggers versus indemnity settlement: basis risk trade-offs

Participants can assemble and assess the data needed to measure agricultural insurance exposure and risk.

• Historical yield cleaning, detrending, and missing-value treatment procedures
• Exposure registers linking crop, acreage, location, planting date, and sum insured
• Remote-sensing indicators: NDVI, evapotranspiration, soil moisture, and crop stage
• Weather-station selection, data validation, interpolation, and station-density assessment
• Sampling frames and crop-cutting experiments for yield estimation
• Data governance controls for farmer records, consent, and data quality

Participants can underwrite agricultural risks using inspection, zoning, eligibility and policy wording controls.

• Underwriting questionnaires capturing husbandry, irrigation, inputs, and prior losses
• Field inspection protocols for acreage verification and crop-condition grading
• Sum-insured methods: production-cost, revenue, and agreed-value approaches
• Risk zoning using agro-ecological maps, hazard layers, and accumulation data
• Policy wording for coverage periods, waiting periods, exclusions, and warranties
• Anti-selection controls through enrolment windows, eligibility rules, and inspections

Participants can calculate and test technical premiums for agricultural insurance products.

• Burning-cost pricing using adjusted historical claims and exposure data
• Expected loss ratios, expense loads, profit margins, and premium taxes
• Frequency-severity modelling for livestock mortality and farm property losses
• GLM rating factors for crop type, location, irrigation, and practice
• Rate adequacy testing under drought, flood, and disease stress scenarios
• Technical premium calculations with deductibles, franchises, and coinsurance

Participants can manage correlated agricultural losses and evaluate suitable reinsurance protection.

• Probable maximum loss estimation for concentrated crop and livestock portfolios
• Aggregate exposure management by district, peril, season, and distribution channel
• Quota-share, surplus, and stop-loss treaty structures for agricultural books
• Catastrophe excess-of-loss layers, attachment points, and reinstatement provisions
• Reinsurance submission packs: bordereaux, exposure summaries, and loss histories
• Capital strain from correlated losses and catastrophe accumulation

Participants can establish effective agricultural insurance distribution and customer communication arrangements.

• Bancassurance models linking seasonal credit, insurance premiums, and loan protection
• Cooperative and aggregator distribution with member enrolment controls
• Farmer disclosures explaining triggers, exclusions, claims evidence, and complaints
• Premium collection schedules aligned with planting, input finance, and harvest
• Commission governance, conduct risk, and sales-quality monitoring
• Mobile enrolment workflows, digital signatures, and policy confirmation messages

Participants can administer agricultural claims using reliable evidence, settlement procedures and fraud controls.

• First-notice-of-loss procedures, triage rules, and claimant communication standards
• Loss-adjuster deployment, field evidence, geotagged photos, and inspection reports
• Crop-loss assessment using crop cuts, damage scales, and harvest records
• Livestock claims: veterinary certificates, mortality verification, and salvage controls
• Index-trigger calculation, data-source reconciliation, and automated payment files
• Fraud indicators: duplicate claims, acreage inflation, adverse selection, and collusion

Participants can apply governance, conduct and reporting controls to agricultural insurance portfolios.

• Insurance Core Principles applied to agricultural product governance and supervision
• IFRS 17 insurance contract boundaries, cash flows, and service results
• Treating Customers Fairly controls for vulnerable and low-literacy policyholders
• Product approval files documenting target market, testing, pricing, and exclusions
• Complaints handling, claims turnaround metrics, and conduct-risk reporting
• Subsidy reconciliation, audit trails, and public-sector reporting requirements

Participants can monitor an agricultural portfolio and prepare a practical improvement plan.

• Portfolio dashboards tracking policies, premium, loss ratio, and claims turnaround
• Early-warning indicators from rainfall anomalies, vegetation stress, and disease alerts
• Renewal reviews using retention, rate change, claim frequency, and concentration
• Post-season reserve review, claims development, and reinsurance recovery tracking
• Operating plan linking underwriting rules, service levels, controls, and owners
• Personal application plan for product, portfolio, or claims improvements