Fruit tree and vine sprayer calibration based on canopy size and length of row: unit canopy row method

Furness, G.; Magarey, P. A.; Miller, P. M.; Drew, Henry

doi:10.1016/s0261-2194(98)00064-7

Cited by 44 publications

(28 citation statements)

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“…Bunches were sprayed from two sides, with spray volumes ranging from 1 to 15 mL, by means of a gravity feed mist spray gun (ITW DEVILBISS Spray Equipment Products, 195 Internationale Blvd, Glendale Heights IL 60139, USA) in a spray chamber [660 × 1410 × 800 mm (h/l/w)]. These spray volumes equate to 111.11 to 1666.67 L/ha in vineyard conditions (Furness et al, 1998). After each spray, the chamber was ventilated for 5 minutes before the next application.…”

Section: Spray Application and Spray Coverage Assessmentmentioning

confidence: 99%

Effect of Fungicide Spray Cover on Botrytis Cinerea Infection in Grape Bunches

Brink

Holz

Fourie

2017

SAJEV

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The effect of fungicide spray cover on Botrytis cinerea infection in grape bunches was determined. Bunches were sprayed at pea size and bunch closure with different volumes of a mixture of fenhexamid and a yellow fluorescent pigment, and the percentage fluorescent pigment coverage on pedicels was determined. Bunches were subsequently dusted with dry airborne conidia of B. cinerea in a settling tower and incubated for 24 h at high relative humidity (98%). Infection was determined by estimating the amount of B. cinerea infections on susceptible bunch parts (pedicel, receptacle and rachis) with isolations onto paraquat (herbicide) and Kerssies (B. cinerea selective) mediums. Linear regressions for the part × stage combinations of percentage B. cinerea incidence on different bunch parts were fitted on mean coverage levels. An increase in spray cover caused linear reductions in levels of B. cinerea on bunch parts. Higher B. cinerea incidences were recorded at pea size. Furthermore, higher B. cinerea incidences were found on paraquat medium for both stages, than on Kerssies medium. The information gathered from this study will be used to facilitate future determination of minimum effective coverage levels for effective B. cinerea control in grape bunches.

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Section: Spray Application and Spray Coverage Assessmentmentioning

confidence: 99%

Effect of Fungicide Spray Cover on Botrytis Cinerea Infection in Grape Bunches

Brink

Holz

Fourie

2017

SAJEV

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“…Many conclusions were obtained but conception of sprayers accounting for all the interacting parameters (atmospheric conditions are also influent factors, mainly for drift considerations) still constitutes a challenging task. Some methods were proposed for adjusting sprays with air flow orientation and distribution irregularities together with canopy shapes and density (Furness, Magarey, Miller, & Drew, 1998;Van de Zande, Porskamp, & Michielsen, 2001, Vieri & Giorgetti, 2001Giametta, Giametta, & Caracciolo, 2002;Pergher, Balsari, Cerruto, & Vieri, 2002) using vertical patternators and/or evaluation of canopy characteristics (Miller, Scotford, & Walklate, 2003).…”

Section: Introductionmentioning

confidence: 99%

A Lagrangian model for spray behaviour within vine canopies

Silva

Sinfort²,

Tinet³

et al. 2006

Journal of Aerosol Science

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This work concerns the numerical prediction of pesticide deposits on vine by air assisted sprayers. This numerical model consists in two different parts: the air flow characteristics were obtained through a Navier-Stokes solver in which additional terms have been introduced in order to account for the modification of the flow by the vine foliage. The theoretical form of these terms was derived through an averaging procedure. As a result, the canopy effect was modelled by introducing momentum and turbulence source terms in the Navier-Stokes equations. The constants were identified thanks to experimental data obtained by direct measurements of the air flow speeds through an artificial canopy. The second part of the model consists in simulating the droplet cloud by means of a lagrangian stochastic model. The average motion of the droplets was computed through the use of lagrangian coordinates and the turbulence effect on the droplets was interpreted in term of statistical properties of the droplet cloud. The tractor displacements were accounted for through unsteady boundary conditions. Once the size and the droplets cloud locations have been determined, the deposit was predicted for a vine row of one meter length using an efficiency coefficient obtained from simulations. Thanks to this approach we were able to quantify the effect of air turbulence on droplet deposition / Ce travail concerne la prédiction numérique de dépôts dans la vigne de pesticides pulvérisés avec assistance d'air. Le modèle numérique comprend deux parties : les caractétistiques du flux d'air sont obtenues à partir de la résolution des équations de Navier-Stokes dans lesquelles des termes additionnels ont été introduits pour prendre en compte les modifications du flux dues au feuillage. L'effet de la végétation est modélisé en introduisant des termes source de quantité de mouvement et de turbulence dans les équations de Navier Stokes. Les constantes ont été identifiées grâce à des données expérimentales obtenues par des mesures directes des vitesses d'air dans une végétation artificielle. la deuxième partie du modèle représente le nuage de goutteletters à l'aide d'une représentation Lagrangienne stochastique. Le mouvement moyen des gouttes est calculé à partir de leurs coordonnées Lagrangiennes et l'effet de la turbulence est pris en compte dans les propriétés statistiques du nuage; Les déplacements du tracteur sont pris en compte par des conditions aux limites transitoires. Une fois que la taille et la position du nuage de gouttelettes est déterminé, le dépot est calculé sur un mètre de rang de vigne en utilisant un coefficient d'efficacité calculé à l'aide de simulations. Grâce à cette approche, on peut prédire les effets de la turbulence sur le dépôt des goutte

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“…This method specifi es the application rates in a more methodical way and has rendered good results in orchards (Sutton and Unrath, 1988;Rüegg et al, 1999;Gil et al, 2007;Siegfried et al, 2007). A simpler system was proposed by Furness et al (1998), called "Unit Canopy Row" (UCR), in which the application rate was determined by each unit of 100 m 3 . Barani et al (2008) used the UCR in vineyards to determine the application rates and obtained good results.…”

Section: Introductionmentioning

confidence: 99%

Volume application rate adapted to the canopy size in greenhouse tomato crops

López

Páez

Rincón

et al. 2013

Sci. agric. (Piracicaba, Braz.)

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The application rate of plant-protection products is indicated as a concentration or amount of product per area. Greenhouse crops grow swiftly, and an application rate based on a fi xed amount of product per hectare can result either in large losses and overdoses when the plants are small or to be insuffi cient when the plants are fully developed. To solve these problems, the application rates of plant-protection products need to be adapted to the plant mass present in the greenhouse when the spray is applied. Two models were developed to estimate the leaf area based on easily measured geometric data of the vegetation in a greenhouse tomato crop.The model based on the PRV (Plant Row Volume) had that best results. The calculation of the volume application rate from the PRV has resulted in a reduction of more than 30 % of the quantity of plant protection product sprayed, without decreasing yield. The PRV of a greenhouse tomato (Lycopersicon esculentum Mill.) is an easily measured parameter that enables the estimation of the leaf area index and the use of application strategies adapted to the changes in the plant canopy, saving major amounts of plant protection product used, compared to the conventional system.

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Fruit tree and vine sprayer calibration based on canopy size and length of row: unit canopy row method

Cited by 44 publications

References 1 publication

Effect of Fungicide Spray Cover on Botrytis Cinerea Infection in Grape Bunches

Effect of Fungicide Spray Cover on Botrytis Cinerea Infection in Grape Bunches

A Lagrangian model for spray behaviour within vine canopies

Volume application rate adapted to the canopy size in greenhouse tomato crops

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