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Crop Cutting Experiments CCEs for PMFBY Photo: Habib Billah · Pexels License · source ↗

Yield data and Crop Cutting Experiments (CCEs) for PMFBY

A Crop Cutting Experiment (CCE) is the standardised field-level sampling procedure used to estimate the average yield of a notified crop in a notified Insurance Unit. CCEs are the technical basis on which PMFBY claims under the yield-based component are calculated, and they predate PMFBY by decades — being also the primary input for India's official crop production statistics.

Principle and history

CCEs were institutionalised in the 1940s by the Indian Statistical Institute (P C Mahalanobis) for objective yield estimation. The General Crop Estimation Survey (GCES), run by NSSO and state agriculture/statistics departments, has used CCEs to produce district-, state- and national-level crop yield series for over seven decades. PMFBY adopted the same methodology, scaled up to the Insurance Unit (gram panchayat or village).

How a CCE is conducted

  1. Selection of villages and survey numbers: Random sampling within the Insurance Unit based on a notified cropping pattern
  2. Selection of plot and sub-plot: Random plot within the survey number; standard sub-plot size of 10 m × 5 m for most crops (5 m × 2 m for sugarcane, fruit-by-tree-count for orchards)
  3. Harvest of sub-plot: At physiological maturity, all produce within the sub-plot is harvested, threshed and weighed in-field
  4. Moisture correction: Yield converted to standard moisture (12% for paddy, 12% for wheat etc.)
  5. Recording: Field-team enters yield in kg/sub-plot on the CCE Mobile App; geo-tagged photographs of the sub-plot at four corners are mandatory under the 2020 reforms

Number of CCEs per Insurance Unit

The Operational Guidelines prescribe a minimum number of CCEs per crop per Insurance Unit:

  • 4 CCEs per gram panchayat for major notified crops
  • 8 CCEs per revenue circle/block where the IU is larger
  • 24 CCEs per district as a fallback minimum

Lower counts trigger statistical confidence concerns and can be challenged by insurers.

Threshold Yield and claim calculation

PMFBY claims are based on the Threshold Yield (TY):

  • TY = Average Yield × Indemnity Level
  • Average Yield: simple average of yields of the past 7 years, excluding 2 calamity years
  • Indemnity Level: 70%, 80% or 90% — chosen by the state at the time of notification

If the CCE-measured Actual Yield (AY) of the season is below TY:

  • Claim per hectare = (TY − AY) / TY × Sum Insured per hectare

The claim is paid uniformly to every insured farmer in that Insurance Unit, regardless of their individual plot-level yield.

Technology in CCEs

The 2020 Revamped PMFBY required mandatory geo-tagging of CCE sub-plots, two-stage smart sampling using satellite imagery (NDVI/EVI-based prioritisation), and a CCE Mobile App for state agriculture staff. Remote sensing-aided yield estimation pilots run alongside CCEs in selected districts for cross-validation. Smart sampling is supposed to reduce CCE workload by 30-40% while improving precision.

Common disputes

CCE disputes are the single largest source of PMFBY claim litigation:

  • Sub-plot selected from a roadside or low-yield strip (insurer-favourable)
  • Sub-plot selected from a well-irrigated patch when most of the IU is rainfed (farmer-favourable)
  • Late CCE due to harvest delays or staff absence
  • Moisture correction errors
  • Yield reported above realistic range without geo-tagged photographic evidence

See also: PMFBY overview, PMFBY cluster tendering and claims cycle, RWBCIS weather insurance, PMFBY state implementation, MSP — Minimum Support Price.

Sources

  1. Crop Cutting Experiments Manual. Department of Agriculture & Farmers Welfare and NSSO.
  2. PMFBY Operational Guidelines — Revamped 2020. DA&FW.
  3. Crop yield estimation methodology. Press Information Bureau.