LAISHA
Open Laisha

State statistical services Crop Area & Yield Estimation: Crop-Cutting Experiments: practice questions

State statistical services: Statistical Officer / Assistant Statistical Officer (State PSCs and selection boards) · India · State Public Service Commissions and Subordinate Service Selection Boards

Original practice questions written to the published syllabus · not past papers
10worked here, free
31written to this exam in this subject
12syllabus units

What this subject covers

How crop production is measured: area from complete enumeration, sample surveys and area frames, yield from crop-cutting experiments on randomly located plots, the Mahalanobis and Sukhatme debate on plot size, crop insurance CCEs, and newer satellite, model and smartphone-based methods.

In the exams: AICE-JRF Ag Stat Unit 5 'crop estimation surveys' (heavy); UPSC ISS Statistics III-IV official statistics (present); state DES statistical-officer exams (present)

What State statistical services asks from it

UPSC Indian Statistical Service and state statistical services (reported)

Official agricultural statistics: land-use classification, TRS, EARAS, ICS, GCES methodology, advance estimates and crop insurance yield estimation.

Where the 31 questions fall

How our questions for State statistical services spread across the units of Crop Area & Yield Estimation: Crop-Cutting Experiments. Difficulty: 9 easy, 21 medium, 1 hard.

Area statistics: complete enumeration, sample-based (EARAS, TRS) and area-frame methods6
Production = area x yield: the statistical structure5
Estimation of yield and its standard error at district and state level4
Improvement of Crop Statistics (ICS) scheme and quality checks4
Crop-cutting for crop insurance: number of CCEs and technology-assisted CCEs3
Crop-cutting experiments: multistage design of villages, fields and plots2
Field protocol: plot location, harvesting, threshing and driage2
Plot size, shape and border bias in crop-cutting1
Yield estimation for horticultural and plantation crops1
Remote sensing, crop models and smartphone data in yield estimation1
Estimation of crop losses due to pests and diseases1
International practice: FAO guidelines and objective yield surveys1

10 practice questions, worked

Choose an answer, then open the working. Each explanation says why the right answer is right and why the others are not.

1 · Area statistics: complete enumeration, sample-based (EARAS, TRS) and area-frame methods · medium

The EARAS scheme was set up mainly for states that:

  1. Have the most accurate land records and need no further checks
  2. Grow only horticultural crops that cannot be crop-cut normally
  3. Lack village land records for complete area enumeration
  4. Have no crop-cutting experiments for estimating crop yields
Answer and working

C. Lack village land records for complete area enumeration

EARAS (Establishment of an Agency for Reporting Agricultural Statistics) created staff to enumerate area in a sample of villages in states, historically the permanently settled areas, without village land records.

Further reading: Sukhatme et al., Sampling Theory of Surveys with Applications; Panse, Estimation of Crop Yields (FAO)

2 · Crop-cutting experiments: multistage design of villages, fields and plots · easy

What sampling design do India's General Crop Estimation Surveys use for crop-cutting experiments?

  1. Simple random sampling of plots in a state
  2. Systematic sampling of every tenth field
  3. Stratified multistage random sampling
  4. Purposive selection of typical fields
Answer and working

C. Stratified multistage random sampling

Strata are tehsils or blocks; villages, fields and plots are the first, second and third-stage units, all selected at random.

Further reading: Sukhatme et al., Sampling Theory of Surveys with Applications; Panse, Estimation of Crop Yields (FAO)

3 · Field protocol: plot location, harvesting, threshing and driage · easy

How is the crop-cutting plot located within a selected field?

  1. By the investigator choosing a patch that looks typical of the field
  2. By the farmer pointing out the best-yielding part of the field
  3. By random coordinates from a fixed corner of the field
  4. By always placing the plot at the exact centre of the field
Answer and working

C. By random coordinates from a fixed corner of the field

Random coordinates within the field's length and breadth avoid the bias of choosing better-looking patches; the centre is a systematic, not random, choice.

Further reading: Sukhatme et al., Sampling Theory of Surveys with Applications; Panse, Estimation of Crop Yields (FAO)

4 · Field protocol: plot location, harvesting, threshing and driage · medium

A 25 m^2 crop-cutting plot yields 10.0 kg of fresh paddy. The driage factor is 0.85. What is the yield in kg/ha of dry paddy?

  1. 4706
  2. 4000
  3. 34
  4. 3400
Answer and working

D. 3400

Yield = produce x driage x 10,000 / plot area = 10.0 x 0.85 x 10,000 / 25 = 3400 kg/ha. Ignoring driage gives 4000; dividing by the driage factor gives 4706; using 100 instead of 10,000 m^2 per ha gives 34.

Further reading: Sukhatme et al., Sampling Theory of Surveys with Applications; Panse, Estimation of Crop Yields (FAO)

5 · Estimation of yield and its standard error at district and state level · medium

How is a state's average yield of a crop obtained from district figures?

  1. The simple average of district yields
  2. The median of the district yields in the state
  3. The highest district yield recorded that year
  4. State production divided by state area
Answer and working

D. State production divided by state area

State production is the sum of district productions; dividing by state area gives an area-weighted yield, not the simple mean of district yields.

Further reading: Sukhatme et al., Sampling Theory of Surveys with Applications; Panse, Estimation of Crop Yields (FAO)

6 · Estimation of yield and its standard error at district and state level · medium

What does the percentage standard error of a yield estimate express?

  1. The standard error as a percentage of the estimate
  2. The proportion of crop-cutting experiments that were lost
  3. The share of yield variance that is due to villages
  4. The difference between this year's and last year's yield
Answer and working

A. The standard error as a percentage of the estimate

Percentage SE = SE / estimate x 100, the CV of the estimate, the usual reliability measure.

Further reading: Sukhatme et al., Sampling Theory of Surveys with Applications; Panse, Estimation of Crop Yields (FAO)

7 · Improvement of Crop Statistics (ICS) scheme and quality checks · easy

What is the main purpose of the Improvement of Crop Statistics (ICS) scheme?

  1. Estimating crop prices in regulated markets every week
  2. Running the agricultural census of holdings every five years
  3. Sample checks of area records and supervision of crop-cutting
  4. Conducting all crop-cutting experiments in every Indian state
Answer and working

C. Sample checks of area records and supervision of crop-cutting

Under ICS, central and state supervisors check crop inspection in a sub-sample of TRS villages and supervise a sub-sample of CCEs to detect and correct errors.

Further reading: Sukhatme et al., Sampling Theory of Surveys with Applications; Panse, Estimation of Crop Yields (FAO)

8 · Crop-cutting for crop insurance: number of CCEs and technology-assisted CCEs · hard

The threshold yield of an insurance unit is 1.92 t/ha and the crop-cutting yield this season is 1.5 t/ha. What percentage of the sum insured is payable?

  1. 42.0%
  2. 78.1%
  3. 21.9%
  4. 28.0%
Answer and working

C. 21.9%

Claim share = (threshold - actual)/threshold = (1.92 - 1.5)/1.92 = 21.9%. Dividing by actual yield gives 28.0%; 78.1% is actual yield as a share of threshold.

Further reading: Sukhatme et al., Sampling Theory of Surveys with Applications; Panse, Estimation of Crop Yields (FAO)

9 · Estimation of crop losses due to pests and diseases · medium

What is the main difficulty in estimating losses due to one particular pest?

  1. Separating it from other pests, weather and management
  2. Yields cannot be measured in fields with pests
  3. Loss surveys cannot use random sampling of fields
  4. Pests never affect crop yield in measurable ways
Answer and working

A. Separating it from other pests, weather and management

Yield reductions have many causes acting together, so attributing loss to one pest requires careful design or modelling.

Further reading: Sukhatme et al., Sampling Theory of Surveys with Applications; Panse, Estimation of Crop Yields (FAO)

10 · International practice: FAO guidelines and objective yield surveys · medium

What is the purpose of the 50x2030 Initiative?

  1. Raising crop yields by 50% before the year 2030
  2. Building integrated agricultural survey systems
  3. Reducing the number of crop-cutting experiments by half
  4. Replacing censuses of agriculture with satellite data
Answer and working

B. Building integrated agricultural survey systems

50x2030 supports low- and middle-income countries in building agricultural data systems that combine surveys and other sources.

Further reading: Sukhatme et al., Sampling Theory of Surveys with Applications; Panse, Estimation of Crop Yields (FAO)

Ten here, 31 in the app. The Laisha app has every practice question we have written to State statistical services in this subject, marked as you go, with timed papers, a jump-to-unanswered list and a certificate when you pass at 70 per cent.

Free for ten days, then one subscription of US$10 a month. We would rather say so here than have you find it later.

Practise the full set in Laisha →

Read the subject

Crop Area & Yield Estimation: Crop-Cutting ExperimentsThe full study manual, free State statistical servicesFormat, sections and how it has changed

More State statistical services practice

Statistical Methods for Agricultural SciencesStatistical Quality Control & ReliabilityOptimization Techniques for StatisticiansStatistical Inference II: Testing of Hypotheses & Sequential AnalysisSampling Theory I: Simple, Stratified, Systematic, Ratio & Regression EstimationProbability Distributions & Sampling DistributionsProbability TheoryNonparametric & Rank-Based MethodsDemography & Vital StatisticsStatistical Inference I: EstimationAgricultural Statistics System, Census & Official Statistics

Crop Area & Yield Estimation: Crop-Cutting Experiments for other exams

ASRB NET · IndiaICAR AICE-JRF/SRF · IndiaIndian Statistical Service Examination · India

Ask Laisha about this

Opens Laisha's chat with your question ready to send. Sign in or start free.