The Hockley Index

Griffith, Jason; Strelioff, Bill; Schnaider, James

doi:10.13031/2013.41775

Cited by 6 publications

(13 citation statements)

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“…The number of complaints from farmers without dicambaresistant soybeans and cotton rapidly have increased due to damage on their crops (Foster et al, 2018;Scoll, 2019). Third, if the boom height is too low damage to the boom (Griffith et al, 2012) or to the crop could occur.…”

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confidence: 99%

“…Increased sprayer speed also reduces the reaction time for an automatic boom height control system to adjust the boom back to the target height (Paraforos et al, 2019). Automatic boom height system comparison is difficult because results are dependent on the track and speed (Griffith et al, 2012). A variable called the Hockley Index was developed to quantify spray height, and thus automatic boom height performance (Griffith et al, 2012).…”

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Comparison of Three Commercial Automatic Boom Height Systems for Agricultural Sprayers

Burgers¹,

Gaard²,

Hyronimus³

2021

Applied Engineering in Agriculture

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HighlightsThree automatic boom height systems were compared: BoomTrac Pro (A), AutoBoom XRT (B), and UC5 Passive Roll (C).Boom leveling performance was quantified for three runs on each of three terrains for at least three speeds.System B kept the boom height significantly closer to target than Systems A and C.System B had significantly less boom height variability than Systems A and C.Abstract. Automatic boom height systems reduce the variability of agricultural sprayer boom height. Consistent boom height is important for three key reasons: to reduce uneven spray dispersion if the boom is too low, to reduce spray droplet drift if the boom is too high, and to reduce damage to the boom or crop if the boom is too low. No data is available comparing commercial boom height systems. Three leading North American automatic boom height systems were compared: John Deere BoomTrac Pro™ (System A), Raven AutoBoom® XRT (System B), and Norac UC5TM Passive Roll™ (System C) on a John Deere R4045 (Systems A and B) and RoGator 1100C (Systems B and C). Each system was evaluated with three test runs for at least three speeds over each of a mild, medium, and rough terrain course. Boom heights at the left and right outside sensors were measured with the AutoBoom XRT sensors. The accuracy of the automatic boom height systems was quantified with root mean squared deviation (RMSD), the Herbst-modified Hockley Index, and the fraction of points within 10 and 25 cm of target (f10 and f<25). With four exceptions out of 216 comparisons, System B significantly outperformed System A on the R4045 and System C on the RoGator for each metric, at each sensor location, at each speed, on each terrain. At 26 km/h on medium terrain, the RMSD for Systems A and C was 174% and 107% larger than System B, respectively. At 26 km/h on medium terrain, the fraction of points within 25 cm (f<25) was 56% and 21% higher for System B than Systems A and C, respectively. These results indicate System B kept the boom significantly closer to target with significantly less height variability. Keywords: Automatic control, Boom control, Spray boom, Spray dispersion, Spray drift, Spray height.

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confidence: 99%

mentioning

confidence: 99%

Comparison of Three Commercial Automatic Boom Height Systems for Agricultural Sprayers

Burgers¹,

Gaard²,

Hyronimus³

2021

Applied Engineering in Agriculture

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“…In 2012, a different metric was proposed to create a common standard to quantitatively analyze automatic boom height control systems, called the Hockley Index (Griffith, et al, 2012). The Hockley index uses height data collected from the ultrasonic sensors to make an objective comparison between different systems.…”

Section: The Hockley Indexmentioning

confidence: 99%

“…In the agricultural industry today there is a proposed metric called the Hockley Index (Griffith, et al, 2012). The Hockley Index is a metric that catalogs the time the height of the boom is in different height ranges.…”

Section: Hockley Index Assessmentmentioning

confidence: 99%

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Developing general procedure to quantitatively analyze boom height control performance on self-propelled agricultural sprayers

Miles¹

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Establishment and Validation of a Field Application Model for Detecting Boom Height Based on an Ultrasonic Sensor for the Whole Growth Cycle of Wheat

Wu,

Li,

Pan

et al. 2023

Preprint

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Ultrasonic feedback energy is affected by the variety, planting and growth state of crops, it is difficult to fine application in precision agriculture systems. To this end, an ultrasonic sensor was mounted in a spray boom height detection system. Winter wheat was used as the test object to obtain feedback energy values for the spray boom height from the top of the wheat in the field during six critical growth stages: the standing stage, jointing stage, booting stage, heading stage, filling stage and maturity stage. The relationship between the actual value of the height from the spray boom to the top of wheat (Habw) and the detected value of the height from the spray boom to the top of wheat (Hdbw) was analyzed. A spray boom height detection model based on the ultrasonic sensor during the full growth cycle of wheat was determined. Field validation tests showed that the applicability of the spray boom height detection distance (Dd) of the spray boom height detection model proposed in the present study was 450 mm~950 mm. Within the applicable Dd range, the detection error of the detection model was ≤5 cm during the full growth cycle. This study provides an ultrasonic detection model construction method, which improves the reliability and accuracy of ultrasonic boom height detection for different wheat growth stages.

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The Hockley Index

Cited by 6 publications

References 0 publications

Comparison of Three Commercial Automatic Boom Height Systems for Agricultural Sprayers

Comparison of Three Commercial Automatic Boom Height Systems for Agricultural Sprayers

Developing general procedure to quantitatively analyze boom height control performance on self-propelled agricultural sprayers

Establishment and Validation of a Field Application Model for Detecting Boom Height Based on an Ultrasonic Sensor for the Whole Growth Cycle of Wheat

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