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Reduction of environmental contamination and improvement of biological efficacy are the two main targets in the optimization of orchard sprayers. There are a wide variety of air assisted orchard sprayer designs and plant training systems that are currently in use around the world. Both the environmental and biological efficacy of any spray application process are the result of the complex
interaction between these various spray flow patterns and tree architectures
besides the environmental condition. Therefore, finding the optimal combination
between these different designs and the various tree architectures should be the
first step in any optimization analysis. To this end, three different designs of air assisted orchard sprayers are compared in this work for the apple classical training system using computational fluid dynamics. The sprayer that performed well in terms of its on and off target deposition and deposition uniformity was then further optimized using different nozzle types and arrangements.
|Titel||Aspects of Applied Biology : International Advances in Pesticide Application|
|Editors||P G Andersen, P Balsari, P I Carpenter, S E Cooper, C R Glass, B Magri, P C H Miller, C Mountford-Smith, T H Robinson, D Stock, W A Taylor, J van de Zande|
|Uitgeverij||Association of Applied Biologists|
|ISBN van geprinte versie||0265-1491|
|Publicatiestatus||Gepubliceerd - 2014|
|Evenement||International Advances in Pesticide Application - Oxford, Verenigd Koninkrijk|
Duur: 8-jan.-2014 → 10-jan.-2014
VingerafdrukBekijk de onderzoeksthema's van 'Training system dependent optimization of air assistance and nozzle type for orchard spraying by CFD modeling'. Samen vormen ze een unieke vingerafdruk.
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