The use of unmanned aerial vehicles and wireless sensor networks for spraying pesticides

Faical, Bruno S.; Costa, Fausto G.; Pessin, Gustavo; Ueyama, Jó; Freitas, Heitor; Colombo, Alexandre; Fini, Pedro H.; Villas, Leandro; Osório, Fernando S.; Vargas, Patrícia A.; Braun, Torsten (2014). The use of unmanned aerial vehicles and wireless sensor networks for spraying pesticides. Journal of Systems Architecture, 60(4), 393 - 404. Elsevier 10.1016/j.sysarc.2014.01.004

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The application of pesticides and fertilizers in agricultural areas is of crucial importance for crop yields. The use of aircrafts is becoming increasingly common in carrying out this task mainly because of their speed and effectiveness in the spraying operation. However, some factors may reduce the yield, or even cause damage (e.g., crop areas not covered in the spraying process, overlapping spraying of crop areas, applying pesticides on the outer edge of the crop). Weather conditions, such as the intensity and direction of the wind while spraying, add further complexity to the problem of maintaining control. In this paper, we describe an architecture to address the problem of self-adjustment of the UAV routes when spraying chemicals in a crop field. We propose and evaluate an algorithm to adjust the UAV route to changes in wind intensity and direction. The algorithm to adapt the path runs in the UAV and its input is the feedback obtained from the wireless sensor network (WSN) deployed in the crop field. Moreover, we evaluate the impact of the number of communication messages between the UAV and the WSN. The results show that the use of the feedback information from the sensors to make adjustments to the routes could significantly reduce the waste of pesticides and fertilizers.

Item Type:

Journal Article (Original Article)

Division/Institute:

08 Faculty of Science > Institute of Computer Science (INF) > Communication and Distributed Systems (CDS)
08 Faculty of Science > Institute of Computer Science (INF)

UniBE Contributor:

Braun, Torsten

Subjects:

000 Computer science, knowledge & systems
500 Science > 510 Mathematics

ISSN:

1383-7621

Publisher:

Elsevier

Language:

English

Submitter:

Dimitrios Xenakis

Date Deposited:

16 May 2014 09:43

Last Modified:

05 Dec 2022 14:34

Publisher DOI:

10.1016/j.sysarc.2014.01.004

Uncontrolled Keywords:

Agricultural applications

BORIS DOI:

10.7892/boris.52600

URI:

https://boris.unibe.ch/id/eprint/52600

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