Journal
COMPUTERS AND ELECTRONICS IN AGRICULTURE
Volume 155, Issue -, Pages 58-68Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.compag.2018.09.031
Keywords
CFD; Decision support tool; Prediction model; Spray mass balance
Funding
- USDA NIFA SCRI [2015-51181-24253]
- NIFA [810521, 2015-51181-24253] Funding Source: Federal RePORTER
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The challenges of ground pesticide applications arise from the increased concerns on potential risks of spray drift to the environment. This paper presents the development of a software application for estimation of spray efficiency and drift from pesticide applications using orchard air-assisted sprayers. The computational fluid dynamics (CFD) simulations provide solutions to the fate and transport of pesticide spray droplets according to crop conditions, spray operating conditions, and weather conditions. The software tool provides the interpolated results based on a drift database generated by CFD simulations, data analysis programs, and condition inputs through graphic interfaces for users. The software enables the users to estimate the spray mass balances, spray drift through airborne and ground deposition by distance, and pesticide drift setback distances to prevent potential risks of spray drift. It is expected to help farmers in making tactical decisions for pesticide applications to enhance the spray efficiency and reduce the risk of spray drift.
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