An examination of Leaf-Wall-Area dose expression

Walklate, P. J.; Cross, J. V.

doi:10.1016/j.cropro.2011.08.018

Cited by 33 publications

(19 citation statements)

References 10 publications

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“…This volume was determined by means of the DOSAVIÑA® decision support system (Gil et al, 2019) for mist-blowers and multi-row sprayers in vineyard crops. This system is based on a modified version of the LWA method (Walklate and Cross, 2012). This volume was also used by local farmers for conventional sprayers.…”

Section: Field Experimentsmentioning

confidence: 99%

Evaluation of leaf deposit quality between electrostatic and conventional multi-row sprayers in a trellised vineyard

et al. 2020

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This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

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Section: Field Experimentsmentioning

confidence: 99%

Evaluation of leaf deposit quality between electrostatic and conventional multi-row sprayers in a trellised vineyard

et al. 2020

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“…These two systems are well-established, and at present, there is a general discussion among the countries of the European Union regarding which of these systems should be used as the standard label dosing system for all crops [ 13 , 14 ]. Nevertheless, in recent years, researchers have proposed alternative systems because the TRV and LWA methods do not consider the leaf density, which is an important canopy parameter [ 14 ]; therefore, these methods are incomplete. Various dosing systems have been proposed for different crops, including vineyards and citrus and fruit trees such as apple trees [ 6 , 15 , 16 , 17 , 18 ].…”

Section: Introductionmentioning

confidence: 99%

Testing the Suitability of a Terrestrial 2D LiDAR Scanner for Canopy Characterization of Greenhouse Tomato Crops

Casamada

Gil

Llorens

et al. 2016

Sensors

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Canopy characterization is essential for pesticide dosage adjustment according to vegetation volume and density. It is especially important for fresh exportable vegetables like greenhouse tomatoes. These plants are thin and tall and are planted in pairs, which makes their characterization with electronic methods difficult. Therefore, the accuracy of the terrestrial 2D LiDAR sensor is evaluated for determining canopy parameters related to volume and density and established useful correlations between manual and electronic parameters for leaf area estimation. Experiments were performed in three commercial tomato greenhouses with a paired plantation system. In the electronic characterization, a LiDAR sensor scanned the plant pairs from both sides. The canopy height, canopy width, canopy volume, and leaf area were obtained. From these, other important parameters were calculated, like the tree row volume, leaf wall area, leaf area index, and leaf area density. Manual measurements were found to overestimate the parameters compared with the LiDAR sensor. The canopy volume estimated with the scanner was found to be reliable for estimating the canopy height, volume, and density. Moreover, the LiDAR scanner could assess the high variability in canopy density along rows and hence is an important tool for generating canopy maps.

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“…For many years it is suggested to leave the surface area based dose expressions on the PPP label for fruit crops. An adaption of the dose expression in fruit crops to the amount of tree leaf canopy and the row spacing at the moment of spray application is advised (Codis et al, 2012;Toews & Friessleben, 2012;Toews et al, 2016;Koch, 1993;Koch & Weisser, 1995;Koch & Weisser, 2000;Koch, 2007;Walklate & Cross, 2012). A parameter developed to do so is the Leaf Wall Area (LWA; EPPO, 2012).…”

Section: Tablementioning

confidence: 99%

Spray drift for the assessment of exposure of aquatic organisms to plant protection products in the Netherlands : Part 2: Sideways and upward sprayed fruit and tree crops

Zande¹,

Holterman²,

Huijsmans³

et al. 2019

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As part of the Dutch authorisation procedure for pesticides an assessment of the effects on aquatic organisms in surface water adjacent to agricultural fields is required. This in turn requires an exposure assessment for these surface waters. So far, in the current Dutch authorisation procedure spray drift is the only source of exposure. For this reason, a new exposure scenario was developed, which includes also input by drainage and atmospheric deposition. The endpoint of the exposure assessment is the 90th percentile of the annual maximum concentration in all field ditches alongside fruit and avenue nursery-tree fields. In this report, the state-of-the-art of the spray drift data is described for orchard spraying and avenue nursery-tree spraying. The methodology of using a matrix structure is discussed for the assessment of spray drift deposition combining classes of Drift Reducing Technology (DRT) and width of crop free zones for sideways and upward sprayed crops (fruit crops and avenue nursery-trees).

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An examination of Leaf-Wall-Area dose expression

Cited by 33 publications

References 10 publications

Evaluation of leaf deposit quality between electrostatic and conventional multi-row sprayers in a trellised vineyard

Evaluation of leaf deposit quality between electrostatic and conventional multi-row sprayers in a trellised vineyard

Testing the Suitability of a Terrestrial 2D LiDAR Scanner for Canopy Characterization of Greenhouse Tomato Crops

Spray drift for the assessment of exposure of aquatic organisms to plant protection products in the Netherlands : Part 2: Sideways and upward sprayed fruit and tree crops

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