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Computational simulation of wireless sensor networks for pesticide drift control

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Abstract

The efficient application of low cost pesticides is a challenge for agricultural production. Pesticide drift is a major cause of environmental contamination. At the time of application, it is essential to know the environmental conditions, such as wind, temperature and humidity to minimize contamination. This study proposes the use of wireless sensor networks in a support and control system for crop spraying and three cases of use are put forward. In the first case, the sensor network evaluates environmental data at the time of application to notify the user if the environmental conditions are suitable. The second use evaluates the wind speed and direction to suggest corrections in the path of a spray vehicle. Due to this alteration in the path, the pesticide is applied solely in the appropriate area. The final use involves collecting samples and analyzing the quality of crop spraying by evaluating the deposition of the pesticide over the crop. Through computer simulations, wireless sensor networks are shown to be useful in crop spraying operation to minimize and to control pesticide drift, to improve the quality of application, to reduce environmental contamination and to save time and money.

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Notes

  1. OMNet ++ Network Simulation Framework—http://www.omnetpp.org/

  2. MiXiM Project—http://mixim.sourceforge.net/

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Acknowledgments

The authors would like to express their gratitude to the State of Mato Grosso Research Foundation (FAPEMAT); the Brazilian Coordination for the Improvement of Higher Education Personnel (CAPES); and the National Science and Technology Institute for Critical Embedded Systems (INCT-Sec) for sponsoring this work.

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Authors and Affiliations

  1. School of Engineering, University of São Paulo, São Paulo, Brazil

    Ivairton Monteiro Santos & Carlos Eduardo Cugnasca

  2. Institute of Mathematics and Computer Science, University of São Paulo, São Carlos, Brazil

    Fausto Guzzo da Costa & Jó Ueyama

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  1. Ivairton Monteiro Santos
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  2. Fausto Guzzo da Costa
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  3. Carlos Eduardo Cugnasca
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  4. Jó Ueyama
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Correspondence to Ivairton Monteiro Santos.

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Santos, I.M., da Costa, F.G., Cugnasca, C.E. et al. Computational simulation of wireless sensor networks for pesticide drift control. Precision Agric 15, 290–303 (2014). https://doi.org/10.1007/s11119-014-9353-x

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  • DOI: https://doi.org/10.1007/s11119-014-9353-x

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