Author: Jason Deveau

  • How Higher Speeds Affect Drone Swath Width

    How Higher Speeds Affect Drone Swath Width

    Speed Study

    Swath width is a fundamental parameter in spray drone mission planning. It facilitates the uniform application of broadacre pesticides at the target rate. Pilots adjust the swath width via operational settings such as droplet size, flight speed and altitude to produce the most effective and efficient application.

    Rapid advances in drone design, however, may warrant a re-evaluation of how operational settings affect swath width. For example, the most recent generation of drones are now capable of speeds up to 20 m/s (72 km/h), which is twice that of the previous generation.

    In late 2025 we conducted a series of comparative herbicide applications using the DJI Agras T50 and T100. For both drones, swath width increased with speed up to ~10 m/s, as expected. However, between ~10 m/s and 18.5 m/s, swath width from the T100 did not seem to increase further. Similar observations have been reported by researchers at AgroEfetiva (São Paulo, Brazil; personal communication).

    These results suggest that the relationship between speed and swath width is positive and direct at lower speeds, but reaches a saturation point beyond which any further increase in speed no longer affects swath width. This is an asymptotic relationship. To test this hypothesis, we conducted a deposition study where swath width was measured at flight speeds that increased incrementally from 8 m/s to 20 m/s.

    Configuration Study

    The standard T100 configuration uses two rotary atomizers (“sprinkler” nozzles; LX07550SX) with a reported maximum combined flow rate of 30 L/min. The alternate orchard configuration incorporates a boom that supports two additional “mister” nozzles (LX09550SX), increasing the reported maximum flow rate to 40 L/min.

    To improve productivity in broadacre applications, some operators have adopted a hybrid configuration. In this setup, the orchard boom is retained, but the reputedly drift-prone mister nozzles are replaced with a second set of sprinklers. This approach is intended to achieve a higher flow rate than the standard two nozzle configuration while maintaining a larger mean droplet size.

    A secondary objective of this study was to compare the Hybrid configuration with the Orchard configuration (Figure 1).

    Figure 1 – Left: DJI Sprinkler Nozzle (LX07550SX). Four such nozzles comprised the “Hybrid” configuration. Right: DJI Mister nozzle (LX09550SX). Four such nozzles comprised the “Orchard” configuration.

    Materials and Methods

    Location and Layout

    The study was conducted at Ontario’s Simcoe Research Station on May 12, 2026. The site (42.857414, -80.271759) was a flat, recently tilled sand/loam field with no vegetation present. A DJI Agris T100 drone was used to perform the spray applications, supported by the D-RTK 3 relay station and flown on full auto.

    The spray mix was 0.2% v/v Super Signal Blue (Precision Laboratories) and 0.125% v/v Activate Plus NIS (Winfield United) in municipal water, pre-mixed to ensure consistency. A volume of 40 L – 60 L was maintained throughout the trial to minimize the effect of a changing payload.

    The sampler was a flat, horizontal, continuous bond paper strip measuring 7.5 cm wide and 30 m long (secured in Speed Tracks™, Application Insight LLC). The sampler was oriented perpendicular to the prevailing wind, with the intention of flying the drone with a headwind across the 15 m mark (the centre) (Figure 2). Test passes determined that the T100 required 210 m to reach 20 m/s while half-full.

    Figure 2 – T100 spraying indicator dye across the 30 m continuous sampler.

    Before the swathing runs began, the prevailing wind shifted direction slightly.  It was decided to fly the drone 5 m upwind (at the 20 m mark along the 30 m sampler) to ensure any downwind displacement was captured on the sampler (Figure 3).

    Figure 3 – Trial layout and prevailing wind conditions.

    Drone Settings and Swathing Order

    The primary objective of the study was to explore the effect of flight speed on swath width. Speed was increased from 8 m/s to the maximum 20 m/s by 2 m/s increments. Trial and error with the controller indicated that we could achieve these speeds by balancing an application volume of 30 L/ha and a programmed swath width of 7 m.

    Altitude was set to 4 m which is lower than the 5 m minimum recommended by DJI for high-speed flight. This was a compromise above the preferred 3.5 m altitude we have historically used with the T50. It was felt that higher altitudes would create unacceptable potential for swath displacement.

    Rotary atomizer design is not standardized, and as a result, the droplet size selected on the controller did not necessarily produce the desired results. The Hybrid configuration was programmed to emit 350 µm droplets, selected as a compromise between drift mitigation and coverage potential. To offset the Mister nozzles’ reputation for producing a finer spray, the Orchard configuration was set to the maximum 500 µm. Operations settings are noted in Table 1.

    ConfigurationNozzleDroplet size (µm)Speed (m/s)Altitude (m)Programmed Swath Width (m)Application Volume (L/ha)
    Hybrid4 Sprinklers3508, 10, 12, 14, 16, 18, 204730
    Orchard2 Misters, 2 Sprinklers5008, 10, 12, 14, 16, 18, 204730
    Table 1 – Operational settings for trials.

    Three repetitions of seven speeds were flown for each configuration. Anticipating an increase in temperature and wind speed throughout the day, it was decided move through all seven speeds (a single repetition) before resetting and doing so two more times. The intent was to preclude confounding weather effects. Ideally, we should have alternated between configurations as well, but this proved impractical. As a result, we flew the Hybrid configuration first and the Orchard configuration last.

    Weather

    Weather data was collected using a Kestrel 3550AG weather meter (Kestrel Instruments) in a vane mount positioned 2.5 m above ground. Temperature and relative humidity were comparable throughout the ~3 hours of data collection, but as anticipated, wind speed was higher for the later Orchard configuration passes.

    As previously indicated, wind direction shifted from an ideal headwind situation just before trials began, and was somewhat changeable, but the average wind direction for the two configurations was comparable (Figure 4 and Table 2).

    Figure 4 – Weather conditions recorded at roughly 10-minute intervals, corresponding to the drone passing over the sampler.
    TimeConfiguration FlownAverage Temperature (°C)Average Relative Humidity (%)Average Wind Speed (km/h ± SD)Average Direction (° ± SD)
    11:55 am – 1:16 pmHybrid11.759.98.4 ± 3.5323 ± 46
    1:43 pm – 2:52 pmOrchard12.951.611.9 ± 2.5316 ± 48
    Table 2 – Average weather conditions for the Hybrid configuration passes and for the Orchard configuration passes.

    Collector analysis

    Bond paper digitization

    Bond papers were scanned using a Swath Gobbler™ (Application Insight LLC). The software measured deposition as both percent area covered (% area) and deposit density (deposits/cm2) every 100 mm, with a thresholded Hue of 23-280, a Saturation of 5-120 and a Value of 156-255.

    Effective swath width calculation

    The large data set produced by each pass was reduced in size by averaging the deposition for every 50 cm. This data was entered into our Excel-based swath width calculator, which assumes a racetrack pattern and sums deposits from adjacent swaths. The resulting swath width for each pass was the maximum width that minimized over- and under-dosing as well as the coefficient of variation (CV).

    Analysis

    The average swath width derived from deposit density data was wider than that derived from percent area covered (Table 3).

    Table 3 – Group means and standard deviation for average swath widths derived from deposit density data and percent coverage data. The average CV was between 29 and 32%.

    A two-way ANOVA (Analysis of Variance; α = 0.05) was performed to determine any significant effect of speed or configuration on swath width (Table 4). Flight speed had no significant effect on swath width, no matter how it was derived (% area covered or deposit density), for either configuration (Hybrid or Orchard). However, the average swath width derived from deposit density was significantly wider for the Orchard configuration compared to the Hybrid and presented higher variability.

    Table 4 – Results of two-way ANOVA, exploring interactions between speed, swath width and configuration (95% confidence interval).

    Orchard configuration was prone to displacement in a side wind. Shifting the flight path 5 m upwind improved the downwind capture, but for some flights it did trim a small portion of the upwind deposition. Deposit density gives greater resolution and exposes more variability than percent area covered. Figure 5 shows the average deposition by speed based on deposit density. Figure 6 shows the average deposition by speed based on percent area covered.

    Figure 5 – Average deposition by speed based on deposit density. Arrow indicates flight path.
    Figure 6 – Average deposition by speed based on percent area covered. Arrow indicates flight path.

    Figure 7 shows the average deposition by configuration based on deposit density. Figure 8 shows the average deposition by configuration, based on percent area covered. Based on deposit density, there were 55% more deposits on the downwind side of the sampler for Orchard configuration set to set to 500 microns compared to the Modified configuration set to 350 microns.

    Figure 6 – Average deposition by configuration based on deposit density. Arrow indicates flight path.
    Figure 8 – Average deposition by configuration based on percent area covered. Arrow indicates flight path.

    The average swath widths calculated from deposit density (Figure 9) and percent area covered (Figure 10) are shown with standard deviation. While it appears the swath width is less around 14 m/s, it is statistically insignificant and the response to speed is essentially flat. As with prior studies, swath widths calculated from deposit density are larger than those calculated from percent area covered.

    Figure 9 – Average swath widths for each speed, derived from deposit density data. SD shown. n=3 for each speed, while n=2 for Hybrid configuration at 12 m/s and 14 m/s.
    Figure 10 – Average swath widths for each speed, derived from percent coverage data. SD shown. n=3 for each speed, while n=2 for Hybrid configuration at 12 m/s and 14 m/s.

    Observations

    Previous studies demonstrated a direct and positive relationship between drone speed and swath width up to 8-10 m/s. Here, we see no further response after ~8 m/s. This supports the hypothesis that rotary-wing drone speed and swath width share an asymptotic relationship that inflects at ~8-10 m/s. Variability makes it difficult to determine an exact value.

    Despite increasing the programmed droplet size to the maximum 500 microns for the Orchard condition, there was 55% more downwind deposition compared to the Hybrid condition, which was set to 350 microns. This supports the claim that the Mister nozzle produces a span of droplet sizes that include far more fines than the Sprinkler nozzle, and underpins the need for a better understanding of the spray quality produced by rotary atomizers.

    Spraying at high speeds is not an advisable practice. While swath width is no longer affected after ~8 m/s, there are other considerations. Note that it required 200 m for the drone to reach the highest speed, and in a related study we have seen swath width taper during initial acceleration and final deceleration, leaving gaps in coverage.

    Further, the minimum 5 m altitude advised by DJI ensures a safe margin for the drone to respond to obstacles and topography during high speed flight, but is not conducive to spraying. The author is aware of a situation where flying the T100 at 4 m altitude and 18 m/s over a canola field with rolling hills caused it to perform an emergency landing.

    An ideal speed is one that maintains the most consistent swath width at a reasonable altitude.

    Thanks to Drone Spray Canada and Bayer Canada for in kind and financial support, and thanks to Cesar Cappa, OMAFA horticulture weed specialist for his participation in the study.

  • A Drone’s Swath Width Tapers During Acceleration and Deceleration

    A Drone’s Swath Width Tapers During Acceleration and Deceleration

    It can be challenging to illustrate how a drone deposits spray. We can take a cross-section of spray deposit (that is, the swath) using a continuous sampler, or a series of discrete samplers. This typically reveals a sharply-peaked curve that is symmetrical in a head- or tail-wind, or skewed if there is a cross-wind.

    Spray coverage from a DJI T100 (4 m altitude, 30 L/ha, 16 m/s, 350 µm droplets) measured as percent area covered over a 30 m continuous sampler (Speed Track and Swath Gobbler – Application Insight LLC). Note: the prevailing wind was 8 km/h and generally from the right, skewing deposition to the left.

    But this analysis only captures a slice of the swath at a single moment in time. Swath width and relative position along the flight path is inconsistent and highly variable. Some have shown this using herbicides and aerial photographs analyzed through a Normalized Difference Vegetation Index (NDVI). NDVI reveals the health and density of vegetation based on how they reflect different wavelengths.

    A 50 m continuous swath visualization. This stitched graphic from work by K. Falk shows annotations for upwind/downwind edges and width measurements.

    Design

    We wanted to try something similar, but using dye instead of herbicide. Rhodamine WT is a synthetic fluorescent dye that absorbs green light and emits red light. It’s highly water-soluble and is the industry standard for environmental monitoring, including mapping groundwater flow, tracing pollution plumes and studying flow rates in rivers. We’ve used it in the past on Ontario’s snowy fields to show how boom height affects coverage uniformity with boom sprayers. Why not from a drone?

    Spray coverage from a boom at an optimal height (left), too low (middle) and too high (right). From episode seven of our Exploding Sprayer Myths series.

    The idea was to lay down swaths from a DJI T100 at different altitudes and speeds, and then take aerial photographs of the stained snow using a DJI Mavic 3 Multispectral drone. It would be visually impactful, and perhaps we could even quantify the deposition using photogrammetry and drone mapping software.

    We flew a snowy field on Stefina Line, Blenheim, Ontario. It was 2°C and wind was gusting from 8-14 km/h. We mixed a 0.5% v/v solution of 0.5 L rhodamine WT in 900 L and flew a trial run (4 m altitude, 50 L/ha, 10 m/s, 500 µm droplets). But, as Robbie Burns said, “The best laid plans of mice and men [often go awry]. (If you’re not into late 18th century poetry, you’re forgiven.)

    Rhodamine WT applied by drone did not result in high-contrast deposition. Hoping it was a function of concentration, we emptied the remaining rhodamine into the nurse tank, essentially doubling the concentration (we didn’t measure it), but to no avail.

    Rhodamine WT applied by drone did not result in high-contrast deposition.

    New Plan

    We decided to pivot. We laid out a ~2.0 ha (5 ac) area and programmed the drone to fly a 10 m route spacing. Our hope was that the swaths would overlap for complete coverage, and perhaps we’d see a completely-stained rectangle. But, it seemed striated rather than solid, and the faint colouration made it difficult to see. This led us to shift to another location and spray another block, but this time we flew it four times in the hope that “multiple coats” would result in a brighter stain. We were already there, so why not?

    Feeling a bit underwhelmed, we slowly flew the Mavic M3M to capture aerial footage. In the following image you see the less-than-spectacular result in the visual spectrum (left). Then our operator had the bright idea to filter the spectrum to enhance the rhodamine, and suddenly we had something (right). By reducing the green light, the rhodamine glowed gold, and we could see the faint block (sprayed once) and the much more intense block (sprayed four times).

    (Left half) Image from DJI Mavic M3M stitched together in Pix4D. Faint pink colouring can be discerned in the visual spectrum. (Right half) when green is reduced, the rhodamine glows gold on a red background. We begin to see the faint ~2.0 ha (5 ac) block sprayed with a single pass on the right, and the much brighter ~2.0 ha (5 ac) block sprayed 4x on the left.

    Note that the block is not a uniform, gold rectangle. The deposition is concentrated along the flight paths and does not seem to overlap (or even reach) the spray from adjacent passes. While this might be a resolution issue, it implies the swath width was less than the route spacing.

    Then we zoomed-in on the downwind and upwind edges of the block that received multiple passes and noticed something. Given the variability of spray deposition, and the fact that we made four passes, we expected coverage would be blurred. Instead, there were clear, intense tapers where the drone was either accelerating or decelerating at the boundary (depending on the direction it was flying).

    Close-up of the downwind edge of the ~2.0 ha (5 ac) area sprayed four times. Note the intensity and tapered profile of the swaths as they approach the boundary.
    Close-up of the upwind edge of the ~2.0 ha (5 ac) area sprayed four times. Note the intensity and tapered profile of the swaths as they approach the boundary.

    We know from prior work with the T10, T30 and T50 that swath width and travel speed are directly related up to a certain speed (perhaps around 10 m/s, but this is yet to be determined). The practical implication was made clear in these images: there were significant gaps in coverage on two field margins. How long were the gaps? Did relative wind direction matter? Did this change with acceleration or deceleration? We went to the DJI flight record to find out.

    Using the playback feature, we could see the flow rate relative to the drone speed and geographical position (that is, latitude and longitude). Using a single pass, we established the point where the drone started or stopped spraying, and the point where the the target flow rate and speed were constant. Then, using the latitude and longitude, we calculated the intervening distance between coordinates.

    Screen captures from the DJI flight recorder. (Left) The ~2.0 ha (5 ac) sprayed four times. You can see the drone icon displaying its position on the flight path, as well as the flow rate, altitude, speed and longitude (latitude was cropped out of the image). (Right) A close-up of one of the turns at the lower side of the sprayed block. All four passes are traced.

    Analysis

    We should note that we were able to spray just under 5 ac with a single tank, so the area that received four passes required multiple refills. This means the weight of the drone at any given location (and therefore the strength of the downwash) changed throughout the trial. We feel weight would affect acceleration and deceleration distances, but it wasn’t controlled in this study.

    Most runs showed the acceleration distance was significantly greater than deceleration distance (Paired t-test: t = 2.54, p = 0.044).

    PassRelative VelocityHeadwind Distance (m)Tailwind Distance (m)
    1Acceleration–54.4
    1Deceleration–44.1
    2Acceleration57.1–
    2Deceleration43.4–
    3Acceleration–44.3
    3Deceleration–38.9
    4Acceleration54.8–
    4Deceleration64.6–
    5Acceleration–52.2
    5Deceleration–37.7
    6Acceleration56.7–
    6Deceleration46.7–
    7Acceleration–55.9
    7Deceleration–43.5

    Headwind increased both acceleration and deceleration distances. There was a 7.5 m (16%) increase in a headwind, which was significant (r2 = 0.23). There was a stronger effect on deceleration, although not significantly.

    Wind DirectionMean (m)Std Dev (m)Min (m)Max (m)Count
    Headwind53.97.743.464.66
    Tailwind46.47.037.755.98
    Relative VelocityHeadwind Mean Distance (m)Tailwind Mean Distance (m)
    Acceleration56.251.7
    Deceleration51.641.0

    Conclusion

    In a previous trial with the DJI T100 we noted the drone was not able to exceed 18.3 m/s over a 250 m treatment distance. It took roughly 200 m to get up to 18.3 m/s before the drone began to slow in anticipation of the end of the treatment block. At the time we assumed the drone would not be under- or over-applying because the pump flow rate compensated for a changing travel speed.

    However, we had not considered the effect on swath width. Here, we see the T100 requires about 50 m to accelerate to / decelerate from 10 m/s. This distance is a function of wind direction, and to a lesser extent, whether the drone is accelerating or decelerating. During this time, the swath width is less than when at target flight speed, leaving (larger) gaps between passes.

    This is a concern for broadacre applications where consistent, uniform coverage is required. Consider a fungicide that may no longer be effective at the extremes of the swath, or a systemic post-emerge herbicide where crops directly beneath the drone (especially horticultural crops or GMO’s with stressed metabolisms) could experience phytotoxic damage.

    We have no practical work-around to suggest, but operators should be aware of the effect.

    Thanks to Drone Spray Canada for in kind support and access to flight records, and thanks for Cesar Cappa, OMAFA horticulture weed specialist for his participation in the study and assistance with data analysis.

  • Establishing an Optimal Airblast Carrier Volume

    Establishing an Optimal Airblast Carrier Volume

    North American product labels may or may not include carrier volume recommendations. When they do, it could be based on a two-dimensional value like the planted area, or perhaps on row length which is more appropriate for trellised crops that form contiguous hedge-like canopy walls. Volume may also be tied to product concentration, which sets minimum and maximum volumes based on product rates. Or, more commonly, volume recommendations take the form of vague guidelines such as “Spray to drip” or “Use enough volume to achieve good coverage”.

    In all cases, spray efficacy and efficiency can be greatly improved by dialing-in the carrier volume to optimize coverage uniformity and reduce off-target spraying. This is easier said than done because the optimal spray volume is case-specific. It depends on a complicated relationship between:

    • Weather conditions (E.g. temperature, humidity, wind speed and direction)
    • Sprayer design (E.g. air handling, droplet size and flow distribution over the boom)
    • Traffic pattern (E.g. every row or alternate row)
    • Product chemistry (E.g. mode of action and formulation).
    • Target (E.g. Crop morphology, planting architecture)

    It is the final variable, the nature of the target, which is the focus of this article. To learn more about the other variables, grab a copy of Airblast101.

    The plant canopy and planting architecture dictate volume

    Quite often, the target in airblast applications is the plant canopy. The plant canopy is the collective structure containing all plant surfaces. This could be the foliar portion of a single pecan tree, a panel of grapes, or a bay of container crops. The planting architecture describes how those canopies are arranged on the planted area. If we consider the canopy and architecture geometrically, we can make relative statements about the volume required when all other variables are equal.

    Six geometric characteristics of the plant canopy and planting architecture.
    Geometric CharacteristicRelationship to Carrier Volume (per unit planted area)
    Row SpacingThe greater the row spacing, the less volume needed.
    Plant SpacingThe greater the plant spacing, the less volume needed. This assumes gaps between the canopies (I.e. not a contiguous hedgerow).
    *Canopy DepthThe greater the canopy depth, the more volume needed.
    *Canopy WidthThe greater the canopy width, the more volume needed.
    *Canopy HeightThe higher the canopy, the more volume needed.
    Canopy DensityThe denser the canopy, the more volume needed.
    *The product of average canopy depth, width and height is the canopy volume. This value forms the basis for many dose expression models and historic carrier volume calculators such as Tree Row Volume.

    Canopy density

    Let’s focus on a single plant canopy. Research has demonstrated that with the possible exception of canopy height, canopy density has the greatest influence on optimal sprayer settings.

    Density describes the amount of matter inside a canopy relative to the volume of space it occupies. The denser the canopy, the more surface area there is to cover and the more difficult it is for spray to penetrate.

    While air handling plays a significant role in improving coverage, a denser canopy will almost always require a greater carrier volume.

    When two physiologically diverse blocks share an alley, use the sprayer settings suitable for the larger of the two. It’s more important to ensure good coverage on the big block than to save on the smaller.
    When two morphologically-diverse blocks share an alley, a two-sided, every-row sprayer should employ settings suitable for the larger of the two. It’s more important to ensure good coverage on the big block than to save on the smaller. Once the hybrid row is sprayed, settings should be modified to suit the block.

    For most perennial crops, canopy density changes over the growing season. The influence of age and staging on canopy size and density will depend on the crop variety, plant health and canopy management practices. The practical implication is that as the canopy grows and fills it typically warrants an increase in spray volume.

    As illustrated in the figure below, the volume used should reflect the current stage of canopy development. If a volume suitable for the densest and largest stage of development is used all season, it will create a great deal of waste early in the season. However, if volume is increased incrementally to reflect canopy growth, a better fit between coverage and volume will minimize waste.

    Note that volume is increased around petal fall, but the fit could be improved with more increments. Caution is advised to ensure the volume is raised (if required) prior to immediate need, particularly during key developmental stages like bud break or bloom where fungicide coverage is critical.

    The curved line represents the leaf area in a canopy (Y-axis, right) increasing over the growing season (X-axis). The volume of the spray (Y-axis, left) providing effective coverage is indicated in green. Spraying the same volume throughout the season means a lot of over-spray (red) early in the season. The target simply isn’t there yet. Using less volume early season and changing about midway through the season, or as required by canopy development, has the potential to save a lot of spray (blue) without compromising spray coverage. Note that the first volume should give sufficient coverage to reach mid-season, and the second volume should be sufficient to reach the end of the spraying season. Always err on the side of excessive coverage to buffer against the impact of unanticipated variables.

    There are exceptions to this rule. Many nursery crops and mature evergreens often do not require changes to volume. High density apple orchards may or may not require an increase in volume. Early in the season, sparse canopies have low profiles that result in very low catch efficiencies. In other words, a great deal of spray misses the target.

    The amount of waste is a function of the application equipment design and the weather conditions. Most low-profile axial airblast systems envelop the target in spray with limited means of reducing air energy sufficiently, or to turn off the spray between trees.

    Further, sparse canopies do not restrict wind, which means ambient wind speed tends to be higher early in the season compared to when the trees become wind breaks. This creates a drift-prone situation and higher volumes are often used to compensate for the loss. The collective result is that excess spray volume is inevitable early season.

    As the canopies fill, the wind is reduced and catch efficiency increases, so trees intercept more spray without having to raise volumes. This balance eventually tips, however, and an increase in volume may be advisable.

    Watch the following video to see the impact of using excessive spray volume (and poor air adjustment settings) in a young cherry orchard. The waste becomes particularly apparent at ~43 seconds when the sprayer passes in front of the woods and the plume can be seen with higher contrast.

    While some loss is inevitable in such a sparse canopy wall, this situation could be improved by using less carrier volume, larger droplets, the correct air settings, canopy-sensing optics and/or a tower or wrap-around sprayer design.

    Adjusting spray volume sprayer settings to reflect the canopy can save money and reduce environmental impact during early-season applications and in young plantings. Mix the tank as you normally would to maintain the pesticide concentration on the label, but adjust the sprayer output to match the plant size.

    Performed correctly, you will be able to go further on a tank without compromising efficacy. This crop-adapted spraying method and the relationship between spray volume, concentration and dose are described further in this article and this article.

    Estimating volume from canopy geometry

    It is challenging to decide on an appropriate spray volume. Many operators resort to historical or regional practices and do not make adjustments to reflect their specific situation. Others refer to models such as Tree Row Volume (a.k.a. Canopy Row Volume) which relates canopy volume per planted area to spray volume.

    In this case, catch efficacy is expressed as a coverage factor, which is determined through experimentation specific to the crop, environment and sprayer.

    Tree Row Volume = (Avg. Canopy Height × Avg. Canopy Spread × Planted Area) ÷ Row Spacing

    Spray Volume = Tree Row Volume × Coverage Factor

    In New Zealand, coverage factors for dilute applications to deciduous canopies range from 0.07 to 0.1 L/m3 (0.00052 to 0.00075 US gal/ft3) or 71 to 100 ml/m3 (0.067 to 0.096 US oz/ft3). The range captures variation in canopy density and any product-specific coverage requirements. Oil sprays, for example, require more surface coverage than most products. While closer to “the truth”, the Tree Row Volume method is still only an estimate.

    If the operator has no prior experience with the crop or the sprayer and wants a sanity-check on their estimated spray volume, we propose the following guidelines for full canopy dilute application to mature crops using every-row traffic patterns. The volumes may seem high, but recognize we have selected a very challenging scenario.

    • Small canopies (E.g. bush, vine, cane, high-density fruiting wall): 500 L/ha (55 US gal./ac.) to 1,000 L/ha (110 US gal./ac.).
    • Medium canopies (E.g. tender fruit, pome): 750 L/ha (80 US gal./ac.) to 1,250 L/ha (135 US gal./ac.).
    • Large canopies (E.g. tree nut, citrus): >2,000 L/ha (214 gal./ac.) and up tp 7,000 L/ha (748 US gal./ac.).
    • For sprayer operators that think in 100 m row lengths, consider 20 L volume per 100 m row length per 1 m canopy height.

    Further Resources

    No matter the approach to determining spray volume, it is imperative that coverage is assessed. It is amazing what we ask of airblast sprayers. Read this short article for some perspective on the coverage we hope to achieve from a given spray volume.

    We propose the use of water-sensitive paper to assess spray coverage. We describe its use and evaluation in detail in this article, this article and in this article.

    Dialing-in an optimal spray volume is an iterative process that requires careful observation and keeping records on what works and what doesn’t for your specific operation.

    Jon Clements (University of Massachusetts) has noted special considerations when it comes to establishing effective volumes for plant growth regulators that go beyond this article. You can explore the concepts in this 2021 factsheet (Spray Mixing Instructions – Considering Tree Row Volume) by Terence Robinson and Poliana Francescatto (Cornell University) and Win Cowgill (Professor Emeritus, Rutgers University).

    Finally, if you really want to get lost the weeds, check out this video recorded in 2021. I had an opportunity to learn from pros like Dr. Terence Bradshaw (University of Vermont) and participants from the Great Lakes region. They’ll tell you all you ever wanted to know about Tree Row Volume. Settle in!

    Thanks to Mark Ledebuhr of Application Insight LLC for his contributions to this article.

  • How to Properly Set Up a Crop Sprayer

    How to Properly Set Up a Crop Sprayer

    Article reprinted with kind permission from an original article written by Oliver Hill in the February, 2017 edition of Farmers Weekly. Photos ©Kathy Horniblow.

    Crop spraying is one of the most important and highly skilled jobs undertaken on any arable farm, but it is facing increased public scrutiny. This is why it is vital that the kit you use as a means to apply pesticide to crops is in prime working order and is set up correctly to deliver the product safely and accurately to its target. Optimum sprayer set up will help to maximize the efficacy of applied products, reduce spray drift and keep machinery in good condition.

    For this best practice guide to sprayer set up, Farmers Weekly teamed up with former Farm Sprayer Operator of the Year Iain Robertson. Mr. Robertson is assistant arable farm manager at David Foot Ltd, a 2,200ha mixed farm south of Dorchester in Dorset, growing wheat, barley, beans, oilseed rape and maize as forage for the farm’s three dairy herds. The machine used for this guide is a Bateman RB26 self-propelled sprayer and while most of these checks and tests are universally applicable to all sprayers, it is also important to refer to the handbook of the manufacturer of your specific machine.

    Watch the video tutorial with Mr. Robertson and then see the step-by-step guide below for more detail.

    Pre Start Checks

    Before firing up the engine, the first thing to do is your pre-start checks – that means checking your machine’s vital fluids like fuel, hydraulic oil, hydrostatic oil, engine oil and coolant levels. If yours is a self-propelled sprayer, chances are you’ll need to get up on to the back of the machine to check some of these.

    “While I’m up on the back of the sprayer I also have a quick look in the top of the tank to make sure that it is nice and clean and the tank rinse nozzles have worked properly – cleanliness is next to godliness,” says Mr. Robertson. Next, move on to the tires. Use a pressure gauge to check all tires are at the correct pressure and refer to the manufacturer’s guidelines. If you’ve got a trailed sprayer, don’t forget to check the tractor tire pressures as well.

    Aim for tires to be run at the lowest pressure recommended for the load to be carried. This will help with boom height and stability and also helps tires act like a shock absorber to ride out bumps. If using a trailed sprayer, use a spirit level to ensure that the drawbar is level. Mr. Robertson says he tries to work around the machine in a methodical, clockwise manner to ensure that he doesn’t miss anything.

    Coming to the pumps, check that they have got enough oil, check that any tool boxes have enough spare parts and any equipment needed and make sure you are carrying a spill kit with absorbent granules and a spade in case the worst happens and there is a spillage. Make sure all parts are lubricated daily and that any grease nipples are cleaned before and after use to avoid them collecting dirt and blocking.

    Check all hydraulic hoses, spray lines and air lines for any signs of wear that could result in problems while operating.

    It’s best to run the sprayer at a minimum of 5 bar to check for leaks. Also check the spray tank is fixed down securely, all straps and bolts are tight.

    Boom checks

    Once opened out, check the boom has good movement in the x- and y-axis. All machines are different so check with your manufacturer as to how the boom is set up. Mr Robertson’s Bateman has tie rods and stock bots that can be adjusted to set the boom up to ride well.

    Check the tie rod nearest the back of the machine is slightly loose when moving and that the front rod is tight. Next, check for up and down movement by gently pushing the boom down by about 50cm and letting go. The boom should return to the central position without too much bouncing around.

    “We want a little bit of movement but not excessive so that you can ride over the bumps as you go along without over- and under-dosing the crop,” says Mr. Robertson. Boom height is one of the most critical factors when spraying and the ideal height is 50cm above the crop. One of the easiest ways to work this out is by using a cable tie that is cut off at the correct length to use a visual aid from the sprayer cab.

    Don’t forget to measure from the tip of the nozzle to the crop, not the spray line.

    Good sprayer cleanliness is important, so make sure the system is rinsed through at the end of each day with clean water to make sure there’s no residue left in the boom. If your machine’s boom doesn’t have recirculation, remember to take the end caps off occasionally and flush out the whole boom.

    Nozzle checks

    Check that the nozzles are aligned both vertically and horizontally, according to the NSTS guidelines. Loosen clamps to adjust any nozzles that need realignment.

    Check the nozzle output at least twice a year by running the sprayer with clean water at 3 bar pressure. Time the output of each nozzle for 30 seconds. If nozzles have been used previously, it’s best to check their output against that of a new pair. Mr Robertson advises using a measuring cylinder rather than a jug to measure the flow rate as a jug is less accurate “because you get a bigger variation over the wider surface area”.

    With an 03 nozzle running for one minute at 3 bar pressure, the output should be 1.2 litres/minute as a rule of thumb but refer to the nozzle manufacturer’s output chart for the expected flow rate. “An easy way to remember this is: at 3 bar your nozzle size multiplied by four will give you your target litres/minute output. It works for all nozzle sizes.” If the output varies more than 4% of the average, or if the spray pattern visually doesn’t look correct, you need to change the nozzle set.

    After checking the output, cross-reference this figure with the rate controller – you may need to adjust the flow figures to ensure that the two correlate. If a nozzle becomes blocked while spraying, Mr. Robertson says he will swap it for a new one and then clean it later using a toothbrush or airline. Never blow through a nozzle with your mouth.

    Nozzle choice

    The choice of nozzle is highly dependent on the sort of job you’re doing. “Timing is crucial but using the right nozzle at the right time will make the job so much easier, cut drift and mean that you’re getting more of the product where you want it to go. If you aim at it you will hit it,” says Mr. Robertson.

    His nozzle of choice is an 03 size and he prefers to use the Defy 3D nozzle alternated forwards and backwards across the boom for pre-emergence work and T0 applications as well as the T3 ear spray. “In less than optimum conditions I may prefer to use the Amistar/Guardian Air, a fine induction nozzle. I would use this at T1 and T2 and also in sub-optimum conditions.”  This nozzle has a 3-star Local Environmental Risk Assessment for Pesticides (LERAP) rating and is 75% drift reducing.

    A water volume of 100 litres/ha is a good rate for spring fungicide application. It provides enough coverage for good disease control and allows maximum efficiency from the sprayer.

    Forward speed

    The third and final part of reducing spray drift is forward speed. Depending on nozzle size and water volume, aim to travel at 12kph.

    Mr Robertson says he finds that this speed gives a good overall output and means you don’t get shadowing or turbulence behind the machine.

    Tips and tricks

    One of the biggest risk of contamination is at fill up. “A fantastic, cheap trick that I learned through Farm Sprayer Operator of the Year is to take a 200 litre plastic drum and cut it in half to create two drip trays to catch any spillages under the induction hopper and the tank overfill.” This eliminates point source contamination, he says.

    “Finally, there’s a plethora of information out there on the internet, loads of good apps to download. The technology is there to help us do the best job possible and make our job as safe as possible.”

  • Sprayer Loading and the Jar Test

    Sprayer Loading and the Jar Test

    The time and attention spent during sprayer loading is a worthy investment. It ensures that the products in the tank perform as intended and reduces the chance of incompatibilities.

    The label

    Pesticide labels are always the first point of reference. Labelled mixing instructions should be obeyed even if they contradict conventional practices (see Mixing order, below). Consult this article on tank mix compatibility for more information on how to quickly and easily consult labels for each of your tank mix partners.

    The carrier

    Typically, the carrier is water, and understanding its role in pesticide performance is another article (or several). We’ve provided some links here for further reading.

    • Take some time to read Les Henry’s 2016 Grainnews article called “The Coles Notes of Water Chemistry“.
    • You can also read about pH and water hardness. It should be noted that pH and the resultant hydrolysis that can affect product half-life is typically an insecticide issue (not fungicide or herbicide). The famous fungicide example is Captan, which has a half-life of 32 hours at pH 5, but only 10 minutes at pH 8. Michigan State did a great summary (in 2008 and on US product formulations) which you can find here.
    • Finally, learn how to read a water quality report, here.

    Carrier volume

    Products dissolve better in higher volumes. The sprayer tank (vat, inductor, etc.) should be at least ½ full or water before adding the first product. In the case of a fertilizer carrier, it may look like water, but it contains high levels of salts that tie up free water and reduce solubility. For fertilizers, a higher initial volume of ¾ full is required.

    Note the undissolved residue collected on these swatches of red filter material. Products dissolve faster and better in higher carrier volumes.

    The incomplete dissolution of products can leave hard-to-clean residues, plug fluid lines, and result in a non-uniform application that reduces efficacy. The risk of incompatibility is greater with low carrier volumes and high product rates (especially dry formulations). This is a common problem in regions that use low water volumes to apply multiple tank mix partners.

    Carrier and product temperature

    Both carrier and product temperature affect mixing. Imagine mixing sugar in hot tea versus iced tea – more sugar dissolves more quickly in hot liquid. Here are three common temperature-related issues:

    • Dry formulations and liquid flowables take more time to disperse (consider using a pre-mixed slurry).
    • Emulsified concentrates and oil might form gels rather than milky blooms.
    • Water soluble packages might not dissolve completely and could plug filters and nozzles – or clog the pump intake.
    Note the undissolved residue collected on these swatches of red filter material. Products dissolve faster and better when carrier and products are warmer.

    Note: Water and fertilizer are very different carriers. Beware of carrier-specific incompatibilities

    Agitation

    Keep agitation running throughout mixing and spraying. Aim for a “simmer” on the liquid surface rather than a “rolling boil.”

    Low agitation can cause products to settle, making them difficult or impossible to resuspend later. Conversely, aggressive agitation (especially in half-full tanks) can cause foaming, pump suction loss, or product separation / clumping.

    Pace

    Adding products too quickly can cause product separation / clumping or poor suspension, leading to tank mix incompatibilities. While loading quickly improves operational efficiency, complex mixes require patience; Sometimes over five minutes between additions, especially in cold water or when using dry products.

    To save time without sacrificing quality, consider pre-hydrating dry products or using a separate nurse tank to pre-mix loads for quick transfer. Remember: even if dry products look dissolved, they may still need more time.

    Product formulation

    Product formulation is a complicated science. In the 1950s a formulation might have three active ingredients and an inert filler. See the historic formulation index card shared by Dr. M Doug Baumann (formally with Syngenta, Honeywood).

    Today, a product can include as many as 40 ingredients with formulation testing lasting two to four years! Generally, only 25% of the volume is water, 50% is active ingredients and the remaining 25% is co-formulants. This is why the more products you add to the tank, the higher the risk of antagonism. This is also why operators should carefully consider the cost benefit of generics, which may include the active ingredient, but do not tend to include the co-formulants.

    Illustration based on a slide by Dr. Samantha Francis, Formulation & Application Technology Lead at the Syngenta Honeywood Research Facility.

    Mixing order

    Tank mixing order is critical for chemical compatibility. While common acronyms like w.w.w.W.A.L.E.S., W.A.M.L.E.G.S., and A.P.P.L.E.S. serve as reliable guides 95% of the time, always defer to the pesticide label for specific instructions.

    Expanded generic mixing order:

    1. Water: Fill tank 1/2 full (or 3/4 if fertilizer carrier).
    2. Agitation
    3. Water-Soluble Bags (WSB): Allow to fully dissolve.
    4. Wettable Powders (WP)
    5. Water Dispersible Granules (WDG, WG, SG)
    6. Liquid Flowables (F, FL, SC, SE, CS, DC, EW)
    7. Emulsifiable Concentrates (EC, MEC, OD)
    8. Solutions (SN, SL, Liquid Fertilizers/Micronutrients)

    Adjuvants:

    1. Water Conditioners (e.g. anti-foamers, compatibility agents): Add before pesticides.
    2. Activator Surfactants (e.g. NIS, COC): Add after pesticides or by formulation type along with pesticides.
    3. Drift Retardants: Add last.

    Examples of mixing errors

    Micronutrients like sulfur (e.g. ATS) added to nitrogen-based formulations (e.g. UAN) can cause physical incompatibilities. This became a problem during “weed-and-feed” applications in Ontario corn in the late 2010s, and working with the registrants, we found a solution.

    What follows is not only a good example of why mixing order is critical, but why growers should get into the habit of performing jar tests. Learn more about a real-world ATS example here.

    Left: ATS and UAN premixed, followed by Primextra created curds.
    Centre: UAN, followed by low-load ATS followed by Primextra worked.
    Right: UAN followed by Primextra followed by high-load ATS worked.

    Mixing errors are just as likely in small plot work as in commercial sprayers. Watch this short video by Mike Cowbrough describing his experience with mixing order for Elevore and glyphosate.

    The jar test

    A jar test is a small-scale version of tank mixing used to check for physical incompatibility. Always wear PPE and work in a well-ventilated area away from ignition sources.

    Jar test steps:

    1. Prepare: Read all labels for formulation details, water quality requirements (pH/hardness), and mixing order. Shake liquid containers to ensure consistency.
    2. Initial Carrier: Fill a 1-litre glass jar with 250 ml of water (or 375 ml if using oil/fertilizer).
    3. Add Products in Order: Add chemicals following the standard mixing sequence, stirring constantly. Scale rates to match your tank concentration (e.g., 1 kg per 1,000 L equals 0.5 g in a 500 ml test).
    4. Wait and Observe: Allow 3–5 minutes between additions—especially for dry products—to ensure full dispersion. If testing water-soluble bags, include a small piece of the film.
    5. Final Volume & pH: Top the jar up to 500 ml with your carrier. Check the pH with a digital meter and add adjusters if required by the label.
    6. Evaluate: Let the jar stand for 15 minutes.

    The mix is likely incompatible if it generates heat, forms gels or scum, or if solids settle out (excluding wettable powders). Note: Jar tests only identify physical issues; they do not guarantee biological efficacy or crop safety.

    Compatibility kits

    When performing a jar test you must maintain the same product-to-carrier ratio as in a full-sized sprayer tank. This math is made easier with commercial compatibility kits such as the one from Precision Laboratories (below).

    Compatibility Test Kit: Five pipettes, three bottles, gloves, instructions. ~$10.00. (Photo: Precision Laboratories)

    Such kits contain a few plastic “jars” and disposable micropipettes. By following the instructions included with the kit, you can easily reduce large labelled volumes (e.g. 1 kg of product in 1,000 litres) of multiple products to small volumes at the same ratio. In this case we assume the final volume would have been 1,000 L, and so we reduce all the quantities accordingly to get 500 ml. The following mixing order is provided as an example.

    OrderIngredientQuantity for 500 ml or 500 g of product labeled for 1,000 L of final spray volume
    1Compatibility agents5 ml (1 teaspoon)
    2Water soluble packets, wettable powders and dry flowables. Include a 1cm2 cutting of PVA packaging.15 g (1 tablespoon)
    3Liquid drift retardants5 ml (1 teaspoon)
    4Liquid concentrates, micro-emulsions and suspension concentrates5 ml (1 teaspoon)
    5Emulsifiable concentrates5 ml (1 teaspoon)
    6Water-soluble concentrates or solutions5 ml (1 teaspoon)
    7Remaining adjuvants and surfactants5 ml (1 teaspoon)

    Records and delayed reactions

    Maintain detailed mixing records for traceability and to track performance. These records help you replicate successes and avoid future failures.

    Labelled jar tests are also valuable; by leaving them in the chemical shed overnight, you can see if products separate or solidify over time. This indicates whether a mix can safely sit in the sprayer or if it requires immediate rinsing. For example, one grower’s Enlist and Manzinphos mix appeared fine until it sat during a rain delay. It turned into “lard,” clogging the entire system and requiring a manual teardown. They even had to dig some of the substance out with screwdrivers (see the picture of the filter below). An overnight jar test likely would have predicted this problem.

    Some physical incompatibilities are not immediately apparent. This occurred overnight while the partially-full sprayer waited out a rain event.

    Closed transfer

    As a brief mention, an expansion of closed transfers systems for loading pesticides is on the horizon in North America. They have great potential to make loading more efficient, reduce operator exposure and reduce point-source contamination. Depending on the design, however, the operator may not be able to open pesticide containers to obtain samples for jar testing. This would be a great loss.

    For more information

    Learn more about physical and chemical incompatibility in our article on Tank mix compatibility. Be sure to download a copy of Purdue University’s 2018 “Avoid Tank Mixing Errors”. Finally, if you have questions about a specific product, contact the manufacturer, who have likely already performed the testing with common tank mix partners and can advise you.

    This article was co-written with Mike Cowbrough, OMAFA Weed Management Specialist – Field Crops