Data and code from: Selection of the least drifting spray nozzles for pesticide application to protect insect pollinators
This dataset includes all raw data and statistical software code required to reproduce the analyses presented in the manuscript:
Kannan, N. and Q. D. Read. 2025. Selection of the least drifting spray nozzles for pesticide application to protect insect pollinators. Journal of the American Society of Agricultural and Biological Engineers, in review (citation and DOI pending).
Pesticide exposure, including off-target drift, is troubling the thriving beekeeping industry in Mississippi. The selection of the least drifting spray nozzle(s) is one way to protect insect pollinators. This dataset is associated with a manuscript presenting the results of a study whose major goal was to identify nozzles with low drift for pesticide spray applications. Specifically, we a) observed the size, speed and flow rate data from seventeen broadcast nozzles; b) estimated the proportion of spray volume with driftable size droplets; c) estimated the size and speed relationships for all the nozzles. These results enabled us to identify the nozzles that are less likely to drift during pesticide applications. The dataset includes raw observations for each nozzle at pressures ranging from 30-50 psi and at 1” height intervals from 9” to 20”, by droplet diameter class. It also includes summary statistics calculated from the data, specifically volume-based percentiles by diameter and by speed, Sauter mean diameter, and proportion of droplets < 150 µm diameter. In addition, we include R statistical software code to calculate the summary statistics, create data visualizations, fit linear models comparing the summary statistics by nozzle type within and across pressure levels, and fit a nonlinear Bayesian regression comparing the maximum slope of the size by speed relationship for each nozzle. The findings we present here may be beneficial to producers for selecting the nozzle that is optimal for both increasing the efficiency of pesticide application and minimizing collateral damage to honeybees and other pollinators.
Included files:
- all_nozzle_data.csv: Spreadsheet containing raw observations by droplet diameter class for each nozzle type, pressure level, and height level
- nozzle_summary_statistics.csv: Spreadsheet containing summary statistics calculated for each nozzle type, pressure level, and height level, as well as aggregated over height levels
- all_nozzle_distribution_comparison.html: Rendered output of code notebook including code, figures, tables, and text description
- all_nozzle_distribution_comparison.Rmd: RMarkdown source of notebook
- speed_bnlmm_asymp.rds: Pre-fit model object for the Bayesian nonlinear regression so that the results can be reproduced without having to refit the model
- column_metadata.txt: Text file explaining contents of the two CSV files
Funding
USDA-ARS: 6066-30500-001-000D
History
Data contact name
Read, Quentin D.Data contact email
quentin.read@usda.govPublisher
Ag Data CommonsIntended use
This dataset is intended to enable reproducibility of analyses presented in the associated manuscript, as well as potentially to be incorporated into other models or public-facing software tools.Use limitations
NoneTemporal Extent Start Date
2024-05-01Temporal Extent End Date
2024-08-31Theme
- Non-geospatial
ISO Topic Category
- farming
- environment
National Agricultural Library Thesaurus terms
nozzles; pesticide application; pollinating insects; pesticides; apiculture; industry; Mississippi; spray volume; droplets; computer software; data visualization; linear models; Bayesian theory; honey beesOMB Bureau Code
- 005:18 - Agricultural Research Service
OMB Program Code
- 005:040 - National Research
ARS National Program Number
- 305
ARIS Log Number
426761Pending citation
- Yes
Related material without URL
Kannan, N. and Q. D. Read. 2025. Selection of the least drifting spray nozzles for pesticide application to protect insect pollinators. Journal of the American Society of Agricultural and Biological Engineers, in review (citation and DOI pending).Public Access Level
- Public