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Sensitivity analysis of variables affecting spray drift from pesticides for their environmental risk assessments on agricultural lands

Author

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  • Seyyed Hossein Fattahi

    (University of Maragheh)

  • Shamsollah Abdollah pour

    (University of Tabriz)

Abstract

Ensuring food security and human health is one of the main challenges of the twenty-first century for sustainable urban and rural development. Farmers use agricultural pesticides in large quantities annually to fight plant pests and diseases. One of the main problems in plant spraying is the drift of pesticide droplets which have a destructive environmental impact and pollute agricultural lands, animals, and humans. In this research, the volume median diameter was chosen as a measure of the size of deposited particles in the nontarget areas of spraying. This measure was obtained from image processing of water-sensitive papers that were placed in a wind tunnel to collect airborne and drifted particles. Different artificial neural network methods were developed to investigate the factors affecting spray drift of pesticides. According to the results, the ANN model with topology 4-12-12-1, the root means square error 0.0388, and the coefficient of determination (R2) 0.9869 can forecast the volume median diameter more accurately. The sensitivity analysis for the neural network model showed that the influence of independent variables including wind speed, spraying pressure, boom height, and nozzle type is 42%, 27%, 16%, and 15%, respectively. In the neural network model, the wind speed had the greatest effect on potential spray drift compared to other variables (42%). Based on results to control pesticide drift, the proper techniques of application of a sprayer by focusing on the use of spraying tools at lower wind speed and appropriate spraying pressure (prevent high spraying pressure), while limiting unintentional environmental damage (pesticide drift), increase agricultural productivity. This practical mode can lead to the sustainable development of agriculture and also ensure food safety and human health.

Suggested Citation

  • Seyyed Hossein Fattahi & Shamsollah Abdollah pour, 2025. "Sensitivity analysis of variables affecting spray drift from pesticides for their environmental risk assessments on agricultural lands," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 27(6), pages 13023-13043, June.
    • Handle: RePEc:spr:endesu:v:27:y:2025:i:6:d:10.1007_s10668-023-04452-x
    DOI: 10.1007/s10668-023-04452-x
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    References listed on IDEAS

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    1. Tadas Jomantas & Kristina Lekavičienė & Dainius Steponavičius & Albinas Andriušis & Ernestas Zaleckas & Remigijus Zinkevičius & Catalin Viorel Popescu & Calin Salceanu & Jonas Ignatavičius & Aurelija , 2023. "The Influence of Newly Developed Spray Drift Reduction Agents on Drift Mitigation by Means of Wind Tunnel and Field Evaluation Methods," Agriculture, MDPI, vol. 13(2), pages 1-26, January.
    2. Marco Grella & Paolo Marucco & Athanasios T. Balafoutis & Paolo Balsari, 2020. "Spray Drift Generated in Vineyard during Under-Row Weed Control and Suckering: Evaluation of Direct and Indirect Drift-Reducing Techniques," Sustainability, MDPI, vol. 12(12), pages 1-26, June.
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