Reference : RTDrift: a real time model for estimating spray drift from ground applications
Scientific journals : Article
Life sciences : Agriculture & agronomy
Physical, chemical, mathematical & earth Sciences : Physics
Engineering, computing & technology : Materials science & engineering
http://hdl.handle.net/2268/89684
RTDrift: a real time model for estimating spray drift from ground applications
English
[en] RTDrift: un modèle temps réel pour l'estimation de la dérive de la pulvérisation à jet projeté
Lebeau, Frédéric mailto [Université de Liège - ULg > Sciences et technologie de l'environnement > Mécanique et construction >]
Verstraete, Arnaud mailto [Université de Liège - ULg > Sciences et technologie de l'environnement > Mécanique et Construction > >]
Stainier, Charles [Université de Liège - ULg > > > Doct. sc. agro. & ingé. biol.]
Destain, Marie-France mailto [Université de Liège - ULg > Sciences et technologie de l'environnement > Mécanique et construction >]
Jul-2011
Computers & Electronics in Agriculture
Elsevier Science
77
2
161-174
Yes (verified by ORBi)
International
0168-1699
[en] Gaussian tilting plume model ; pesticide application ; embedded measurements
[en] A spray drift model called RTDrift was developed to estimate drift caused by ground sprayer machines. The sprayer was equipped with sensors measuring operational parameters namely spray pressure, boom height and movements, and geolocalization. Climatic parameters, including wind speed and direction, were measured using a 2-D ultrasonic anemometer mounted on the sprayer. The nozzles spray drop size spectra were characterized using Phase Doppler Interferometer measurements. At every successive boom position, a diffusion-advection Gaussian tilted plume model computed the spray drift deposits for each drop class taking into account evaporation. The contribution of a single nozzle was calculated by integration of the individual puffs with respect to time and summation of the contributions of individual drops classes. The overall drift generated by the sprayer machine was obtained adding the contributions of all the nozzles. Field trials were performed on a fallow field with water and on crops with pesticides in various wind conditions. The ground drift was measured at different drift distances using fluorometric methods. When comparing the results of the model with experimental measurements of deposits, the model produced realistic maps of drift deposits. Some further improvement is needed in the presence of large scale eddies. The model offers potential benefits for the farmer as a real time drift estimator embedded on a sprayer machine
DRIFT-INDIC project n°2907
Researchers ; Professionals
http://hdl.handle.net/2268/89684

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