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CEng / IEng / EngTech via IAgrE Precision Agriculture & System Management: practice questions

CEng / IEng / EngTech via IAgrE · United Kingdom · Institution of Agricultural Engineers (licensed by the Engineering Council)

Original practice questions written to the published syllabus · not past papers
10worked here, free
19written to this exam in this subject
9syllabus units

About CEng / IEng / EngTech via IAgrE

CEng / IEng / EngTech via IAgrE is a professional certification run by Institution of Agricultural Engineers (licensed by the Engineering Council), for candidates in United Kingdom. Competence review and professional review interview against UK-SPEC. No written exam.

Source: iagre.org.

Checked against the exam body's published information. Formats and fees change; confirm the current edition there before you book.

Precision Agriculture & System Management in CEng / IEng / EngTech via IAgrE

Using positioning, sensing and variable-rate control to manage fields by the metre instead of by the hectare.

Our 19 CEng / IEng / EngTech via IAgrE questions in this subject: 2 easy, 9 medium, 8 hard, across 9 units.

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.

These 10 were written to CEng / IEng / EngTech via IAgrE and are not shown on any other exam's page.

Question 1 · medium

A farmer uses SBAS corrections for planting and finds that rows planted last season do not line up with this season's guidance lines. The most likely reason is

  1. SBAS gives acceptable pass-to-pass accuracy but drifts over time, so its year-to-year repeatability is poor
  2. SBAS signals are switched off outside the harvest season, so the receiver reverted to a different datum
  3. SBAS corrections are only valid for spraying, and the planter's own sensors reject them after one season
  4. SBAS always gives centimetre accuracy, so the planter's row units must have worn and shifted sideways instead
Answer and working

A. SBAS gives acceptable pass-to-pass accuracy but drifts over time, so its year-to-year repeatability is poor

SBAS is good for adjacent passes made within minutes but its position wanders over hours and days, so lines cannot be repeated between seasons. Repeatable lines need RTK from a surveyed base. SBAS is not seasonal and is not centimetre-accurate.

Question 2 · hard

Three years of yield maps are each divided by their own field mean. What is the purpose of this normalisation?

  1. To convert all yields to the same standard moisture content before averaging
  2. To compare relative performance across seasons with different average yields
  3. To remove GNSS errors that differ between the harvest dates of each season
  4. To make the three maps additive so that total farm production can be summed
Answer and working

B. To compare relative performance across seasons with different average yields

Relative yield (point ÷ field mean) removes the season effect so stable high, stable low and unstable areas can be identified for zones. Moisture correction and GNSS errors are handled separately; normalised maps cannot be summed to production.

Question 3 · hard

What advantage does pulse-width modulation (PWM) of nozzle solenoids have over pressure-based rate control?

  1. Flow varies with the square of the duty cycle, giving a wider range at higher pressure
  2. The nozzle orifice is widened electrically, so no solenoid valve is needed at all
  3. Pressure is doubled for every step in duty cycle, giving finer control at low rates
  4. Flow is varied at nearly constant pressure, so droplet size stays within the nozzle's range
Answer and working

D. Flow is varied at nearly constant pressure, so droplet size stays within the nozzle's range

PWM varies the fraction of time each nozzle is open while pressure stays nearly constant, so droplet size and pattern are preserved over a wide turndown. Flow is roughly proportional to duty cycle, not its square; PWM uses solenoids and does not change pressure.

Question 4 · easy

Why is metadata essential when archiving yield and application data?

  1. Metadata compress the files so that more seasons fit on one storage device
  2. Metadata replace the need to calibrate the sensors in the following season
  3. Metadata encrypt the records so that only the equipment maker can read and restore them later
  4. Without units, dates, sensor and coordinate system the data cannot be reused later
Answer and working

D. Without units, dates, sensor and coordinate system the data cannot be reused later

Metadata describe what was measured, when, how, in which units and reference frame; without them old data become unusable. Metadata do not compress, calibrate or encrypt data.

Question 5 · easy

A farm's application records use 'UAN 32', 'UAN32' and 'urea-AN solution' for the same product across seasons. Which data-quality dimension is poor?

  1. Positional accuracy
  2. Consistency
  3. Timeliness
  4. Radiometric resolution
Answer and working

B. Consistency

Naming the same product differently breaks consistency and makes season-to-season summaries wrong. Position, timeliness and radiometric resolution are other dimensions.

Question 6 · hard

A yield dataset and a soil ECa map of the same field do not overlay; the yield points appear about 1.5 m north of the ECa features everywhere. The most likely cause is

  1. A grain-flow delay error in the yield monitor during harvest
  2. Random GNSS noise that averages to zero over the whole field
  3. A kriging error introduced when the ECa map was interpolated
  4. A datum or coordinate-system mismatch
Answer and working

D. A datum or coordinate-system mismatch

A uniform shift in one direction across the whole field points to a coordinate-reference or datum mismatch. Flow delay shifts yields along each pass direction (alternating on back-and-forth passes), random noise does not produce a constant shift, and kriging does not move features.

Question 7 · hard

An auto-steer system costs 18,000 currency units, lasts 6 years with no salvage, and the interest rate is 10 %. It saves 15 units per hectare. The break-even area per year is about

  1. 200 ha
  2. 276 ha
  3. 1200 ha
  4. 331 ha
Answer and working

B. 276 ha

CRF = 0.1 × 1.1⁶/(1.1⁶ − 1) = 0.2296; annual cost = 18,000 × 0.2296 = 4133; break-even = 4133/15 = 276 ha. 200 ha ignores interest (3000/15); 1200 ha divides the full price by the saving; 331 ha uses a wrong factor.

Question 8 · medium

A contractor's guidance system has a fixed cost of 3000 currency units per year. Used on 600 ha per year, the fixed cost per hectare is

  1. 0.2 units/ha
  2. 5.0 units/ha
  3. 50 units/ha
  4. 18 units/ha
Answer and working

B. 5.0 units/ha

3000 / 600 = 5.0 units/ha. 0.2 inverts the ratio; 50 and 18 are arithmetic slips. Spreading fixed cost over more hectares is why contractors adopt earlier.

Question 9 · medium

A smallholder region wants the benefits of auto-steer and variable-rate spreading, but farms average under 2 ha. Which delivery model is most realistic?

  1. Each farmer buying an RTK base station so that every plot has its own reference
  2. Replacing all crops with one crop so that uniform rates become optimal everywhere
  3. Waiting until farms merge to over 500 ha before using any precision tools
  4. Custom-hiring centres or contractors spreading equipment cost over many farms
Answer and working

D. Custom-hiring centres or contractors spreading equipment cost over many farms

Break-even area makes ownership uneconomic on tiny farms; shared ownership through service providers or custom-hiring centres spreads the cost. Individual base stations multiply cost; monocropping does not remove variability; waiting ignores low-cost tools that already work.

Question 10 · hard

An on-farm trial compares variable-rate and uniform nitrogen. Why should the uniform-rate check strips be replicated across the zones rather than placed in one block?

  1. So the yield monitor can be calibrated on each strip rather than on weighed loads
  2. So fewer passes are needed and the harvest is completed in a shorter time
  3. So differences between treatments can be separated from differences between zones and soils
  4. So that the uniform strips receive more nitrogen in total than the variable-rate strips beside them
Answer and working

C. So differences between treatments can be separated from differences between zones and soils

Replicated strips across zones let the analysis separate treatment effects from spatial variation; one block confounds treatment with location. Replication does not calibrate monitors, save passes or change the rates.

A study plan for Precision Agriculture & System Management in CEng / IEng / EngTech via IAgrE

This plan follows where our questions actually fall, so the time goes where the marks are likely to be. It is our reading of the syllabus, not the exam body's weighting.

  1. First, the heavy units (58% of the 19 questions): Farm data management (4, 21%); Farm management information systems (4, 21%); Auto-steer and guidance (3, 16%).

    Read the manual chapters for these first and do every worked question you can find on them.

  2. Then the middle band: GNSS and RTK positioning (2, 11%); Yield monitoring (2, 11%); ISOBUS basics (1, 5%).

    Aim for one sitting per unit, then mixed questions across them.

  3. Then the lighter units: Prescription maps (1, 5%); Section control (1, 5%); Variable-rate technology (1, 5%).

    Learn the definitions, classifications and standard numbers; these units are more often recalled than worked.

  4. Leave time for the hard ones: Prescription maps (1 hard of 1), Variable-rate technology (1 hard of 1), Farm management information systems (2 hard of 4).

    Come back to these after a first pass, untimed, and read every explanation, including for the options you rejected.

  5. Bank the easy marks: Farm data management (2 easy of 4).

    Do these early in revision so they are fast on the day.

  6. Finish timed. Sit the subject as a timed set without notes, mark it, and send each wrong answer back to its unit above.

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