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Agriculture & Future Food Systems · Article

Sensors and variable-rate applications

Connect spatial measurements to calibrated equipment, while keeping crop need and measured response distinct.

Preparation and related reading

Shared Foundations

Related articles

This article helps you

  • Distinguish a sensor reading from the quantity inferred.
  • Explain how spatial prescriptions reach application equipment.
  • Account for delivered water without assuming a crop or basin benefit.

A reading is not an application rate

A soil sensor indicates a dry location in a field. That reading may inform an irrigation decision, but it does not directly specify the amount to apply. The measurement, its interpretation, the chosen prescription and the equipment response are separate parts of the system.

Variable-rate equipment applies different quantities in different places. This can be useful when meaningful spatial differences persist, yet a detailed map is only a starting point. Choosing quantities still requires knowledge of crop demand, rooting conditions, soil storage and the water already present.

Know what the sensor measures

Volumetric water content is the volume of water per bulk volume of soil, commonly expressed as m³/m³. Water tension describes how strongly water is held and is a different quantity. A device may estimate water content indirectly from an electrical property rather than directly measuring a volume of water.

Calibration relates indications to reference values under specified conditions. Soil properties, installation contact and temperature can affect some sensor methods. A small sensing volume also cannot represent every part of a field merely because the display has many decimal places. Method, depth, location and reference comparison belong with the reading.

Check a calibration comparison

In an invented comparison under matched conditions, a sensor indicates 0.25 m³/m³ while an independent reference estimate is 0.20 m³/m³. Their difference is 0.05 m³/m³, equivalent to five percentage points of volumetric water content. Relative to 0.20, the indicated value is 25% higher; that is a different denominator.

One comparison does not establish a correction valid at all water contents, soil conditions or dates. Reference results have uncertainty too. Further comparisons over the relevant range are needed to assess the relationship. NIST stresses that a calibration history alone does not establish whether a measurement is adequate for a particular decision.

A map meets a machine

A prescription associates locations with selected application quantities. In centre-pivot variable-rate irrigation, position tracking and controllable sprinkler groups can connect mapped zones to equipment operation. Speed control changes depth across the pivot span at that moment; separately controlled zones can vary application along the span.

The actual footprint, flow and application uniformity must be checked rather than assumed from the uploaded file. The diagram follows an invented two-zone water account: one zone receives 4 mm over 1,000 m² and another receives 8 mm over 2,000 m². These depths are stipulated teaching values, not irrigation recommendations.

Two zones, one delivery account

Two zones, one delivery accountInvented depth-area products give 4,000 L for zone A and 16,000 L for zone B, summed to 20,000 L. The account concerns delivery, not crop uptake or consumptive use. Invented accounting example, no irrigation prescription or measured water-saving claim.Zone A: 4 mm1,000 m²; stipulated uniformdelivery.Zone B: 8 mm2,000 m²; stipulated uniformdelivery.4,000 L delivered4 mm × 1,000 m² = 4,000 L.16,000 L delivered8 mm × 2,000 m² = 16,000 L.Total: 20,000 LSum of delivered quantities; otherwater flows unknown.multiplymultiplysumsum
Invented accounting example, no irrigation prescription or measured water-saving claim.
Read the diagram as text

Invented depth-area products give 4,000 L for zone A and 16,000 L for zone B, summed to 20,000 L. The account concerns delivery, not crop uptake or consumptive use.

Parts

Zone A: 4 mm
1,000 m²; stipulated uniform delivery.
Zone B: 8 mm
2,000 m²; stipulated uniform delivery.
4,000 L delivered
4 mm × 1,000 m² = 4,000 L.
16,000 L delivered
8 mm × 2,000 m² = 16,000 L.
Total: 20,000 L
Sum of delivered quantities; other water flows unknown.

Connections

  • Zone A: 4 mm → 4,000 L delivered: multiply
  • Zone B: 8 mm → 16,000 L delivered: multiply
  • 4,000 L delivered → Total: 20,000 L: sum
  • 16,000 L delivered → Total: 20,000 L: sum

Account for delivery

A depth of 1 mm over 1 m² equals 1 L. With uniform delivery within each invented zone, the first quantity is 4 × 1,000 = 4,000 L and the second is 8 × 2,000 = 16,000 L. Total delivery is 20,000 L. Applying 8 mm everywhere across the same 3,000 m² would deliver 24,000 L.

The 4,000 L difference describes this delivery boundary. It does not establish reduced consumptive use, an equal reduction in withdrawals, or improved yield. Runoff, storage, drainage, return flows and crop use may differ. To compare outcomes, measure the relevant water account and crop response under comparable conditions.

Evaluate the complete chain

Useful evaluation checks whether sensors describe the intended zones, whether prescriptions suit actual conditions, and whether the machine delivers the chosen quantity. A failed valve or shifted location can break the link even when the measurement was sound. Accurate application can also faithfully deliver an unsuitable prescription.

Record crop quality and yield alongside resources, equipment costs and maintenance. A relatively uniform field may gain little from extra spatial control. Appropriate decisions can combine sensors, field observations and scheduling models, but every claimed advantage needs its own evidence and comparison boundary.

Worked examples

Two different percentage statements

A hypothetical water-content indication is 0.25 m³/m³ and a matched reference estimate is 0.20 m³/m³. What are the absolute and relative differences?

  1. Subtract: 0.25 − 0.20 = 0.05 m³/m³.
  2. As percentages of bulk soil volume, the values are 25% and 20%, a five-percentage-point difference.
  3. Relative to the reference, 0.05/0.20 × 100 = 25%. This comparison supplies no universal correction.

The difference is 0.05 m³/m³, or five percentage points; the indication is 25% higher relative to the reference estimate.

Compare stipulated water delivery

Under uniform delivery within each zone, how do 4 mm over 1,000 m² plus 8 mm over 2,000 m² compare with 8 mm over the whole area?

  1. Zone deliveries are 4,000 L and 16,000 L; total = 20,000 L.
  2. The uniform comparison delivers 8 × 3,000 = 24,000 L.
  3. The difference is 4,000 L delivered. Crop response and other water flows have not been specified.

The zoned case delivers 4,000 L less at this boundary, without proving equal crop performance or basin water savings.

Check your understanding

  1. A sensor reports water tension. Can its number be treated directly as a percentage water content?

    Show answer and reasoning

    No.

    The quantities differ; any conversion needs an appropriate relationship and conditions.

  2. The controller used the intended map, but a valve remained closed. Has intended delivery been established?

    Show answer and reasoning

    No.

    A command record establishes neither valve response nor actual delivered quantity.

  3. A zoned system delivered less water. What additional evidence is needed to claim equal production?

    Show answer and reasoning

    Comparable measurements of crop yield and relevant quality.

    Input delivery is not a measurement of crop outcome; a suitable comparison must address conditions and uncertainty.

Key ideas

  • Identify the measured quantity, calibration conditions and spatial support.
  • A zone map specifies where; agronomic evidence supports how much.
  • Verify actual delivery and evaluate crop outcomes separately.

References

Sources supporting the explanations and examples in this article.

  1. University of Minnesota Extension2 sources
    1. Soil moisture sensors for irrigation schedulingVasudha SharmaTeaching resourceextension.umn.eduRead source
    2. Variable Rate IrrigationMarcel Fodjo Kamdem; Vasudha SharmaTeaching resourceextension.umn.eduRead source
  2. Metrological Traceability: Frequently Asked Questions and NIST PolicyAntonio Possolo; Sally S. Bruce; Robert L. Watters, Jr.Reference guidenist.govRead source