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Hygienic justification of the calculating model of pesticides indicators for safe application by using unmanned aircraft vehicles

ISSN 2223-6775 Ukrainian journal of occupational health Vol.19, No 2, 2023


https://doi.org/10.33573/ujoh2023.02.107

Hygienic justification of the calculating model of pesticides indicators for safe application by using unmanned aircraft vehicles

Borysenko A.A.1, Kondratiuk M.V., Antonenko A.M.1, Shpak B.I.2, Omelchuk S.T.1
1Hygiene and ecology department # 1, 3Hygiene and ecology institute of Bogomolets National Medical University
2«Syngenta» LCC, Kyiv, Ukraine


Full article (PDF): ENG / UKR

Introduction. The need for substantiating regulations for the safe application of pesticides using unmanned aerial vehicles intersects several important areas and has a significant impact on agriculture, environmental protection, and public health.

The aim of our study was to provide a hygienic rationale for a model calculating indicators for the safe application of pesticides using unmanned aerial vehicles.

Materials and Methods. The experimental part was conducted in an enclosed facility (hangar) with an air temperature of 19°C, humidity of 50%, and airflow speed of 0.1 m/s. The most common models of agricultural drones, DJI Agras T16 and XAG XPlanet 2020, were used. Statistical analysis of the obtained results was performed using IBM SPSS Statistics Base v.23, Python 3.11 with libraries such as Numpy, Pandas, Matplotlib, and Scipy, as well as the web-based computational environment Jupyter Notebook 6.4.8.

Results. The coverage density of the treated surface (95% of the total amount of applied substance) ranged from 0.42 µg/cm2 to 0.87 µg/cm2. The coverage density of the treated surface (100% of the total amount of applied substance) ranged from 0.26 µg/cm2 to 0.57 µg/cm2. The effective coverage width (the width of the area where 95% of the applied substance reached) at a spraying height of 2 m was 564.0±0.58 cm, at 3 m was 850.0±1.0 cm, and at 4 m was 903.0±1.53 cm.

The research results indicate a significant difference in the application density depending on the spraying height by the agricultural drone, which amounts to 0.745±0.03 µg/cm2 at a height of 2 m, 0.669±0.008 µg/cm2 at 3 m, and 0.439±0.005 µg/cm2 at 4 m.

Conclusions. The obtained equation of linear regression can be used to model correlation relationships between the dependent variable and one or several independent variables. Such a model will help understand the relationship between surface coverage density and spraying height, determine the optimal spraying height for achieving the desired coverage density, establish the optimal parameters for surface treatment, and minimize unintended losses of plant protection chemicals.

Keywords: pesticides, UAV, calculation model, coverage density, application regulations.

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