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

Journal of Systems Architecture

Volumn 60, Issue 4, 2014, Pages 393-404

  Faiçal, Bruno S ^a   Costa, Fausto G ^a   Pessin, Gustavo ^b   Ueyama, Jó ^a   Freitas, Heitor ^a   Colombo, Alexandre ^a   Fini, Pedro H ^a   Villas, Leandro ^c   Osório, Fernando S ^a   Vargas, Patrícia A ^d   Braun, Torsten ^e  

^a UNIVERSITY OF SÃO PAULO   (Brazil)

^b INSTITUTO TECNOLÓGICO VALE   (Brazil)

^c UNIVERSITY OF CAMPINAS   (Brazil)

^d HERIOT WATT UNIVERSITY   (United Kingdom)

^e UNIVERSITY OF BERN   (Switzerland)

Author keywords

Agricultural applications; Architecture; Control loop; Unmanned aerial vehicles

Indexed keywords

AGRICULTURE; ALGORITHMS; ARCHITECTURE; CROPS; FERTILIZERS; PESTICIDES; UNMANNED AERIAL VEHICLES (UAV);

AGRICULTURAL AREAS; COMMUNICATION MESSAGES; CONTROL LOOP; CROP FIELDS; FEED BACK INFORMATION; SELF-ADJUSTMENT; SPRAYING PROCESS; WIND INTENSITY;

WIRELESS SENSOR NETWORKS;

EID: 84897529297     PISSN: 13837621     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.sysarc.2014.01.004     Document Type: Article

References (36)

1. A. Abraham, C. Grosan, Engineering evolutionary intelligent systems: Methodologies, architectures and reviews, in: Engineering Evolutionary Intelligent Systems, vol. 82 of Studies in Computational Intelligence, Springer, 2008, pp. 1-22.
2. D.W. Aha, D. Kibler, and M.K. Albert Instance-based learning algorithms Mach. Learn. 6 1 1991 37 66 (Pubitemid 21727227)
3. I.F. Akyildiz, and M.C. Vuran Wireless Sensor Networks 2010 Wiley
4. P. Angelov, D.P. Filev, and N. Kasabov Evolving Intelligent Systems: Methodology and Applications 2010 Wiley
5. T. Arvidsson, L. Bergstrom, and J. Kreuger Spray drift as influenced by meteorological and technical factors Pest Manage. Sci. 67 5 2011 586 598
6. I. Bekmezci, O.K. Sahingoz, and C. Temel Survey flying ad-hoc networks (fanets): a survey Ad Hoc Netw. 11 3 2013 1254 1270
7. S. Biswas, and R. Morris Opportunistic routing in multi-hop wireless networks ACM SIGCOMM Comput. Commun. Rev. 34 2004 69 74
8. U.M. Colesanti, C. Crociani, A. Vitaletti, On the accuracy of omnet++ in the wireless sensornetworks domain: simulation vs. testbed, in: Proceedings of the 4th ACM workshop on Performance evaluation of wireless ad hoc, sensor, and ubiquitous networks, PE-WASUN '07, ACM, New York, NY, USA, 2007, pp. 25-31. (Pubitemid 351545648)
9. P. Corke, T. Wark, R. Jurdak, W. Hu, P. Valencia, and D. Moore Environmental wireless sensor networks Proc. IEEE 98 11 2010 1903 1917
10. F. Costa, J. Ueyama, T. Braun, G. Pessin, F. Osorio, P. Vargas, The use of unmanned aerial vehicles and wireless sensor network in agricultural applications, in: Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE, International, 2012, pp. 5045-5048.
11. P. Donkersley, and D. Nuyttens A meta analysis of spray drift sampling Crop Protect. 30 7 2011 931 936
12. G. Doruchowski, M. Roettele, A. Herbst, and P. Balsari Drift evaluation tool to raise awareness and support training on the sustainable use of pesticides by drift mitigation Comput. Electron. Agric. 97 2013 27 34
13. T. Ehmke Unmanned aerial systems for field scouting and spraying Crops Soils 46 6 2013 4 9
14. A. Erman, L. Hoesel, P. Havinga, and J. Wu Enabling mobility in heterogeneous wireless sensor networks cooperating with UAVs for mission-critical management Wireless Commun., IEEE 15 6 2008 38 46
15. M. Ester, H. peter Kriegel, X. Xu, A density-based algorithm for discovering clusters in large spatial databases with noiseo, in: Proceedings of 2nd International Conference on Knowledge Discovery and Data Mining, AAAI Press, 1996, pp. 226-231.
16. B.K. Fritz, W.C. Hoffmann, N.B. Birchfield, J. Ellenberger, F. Khan, W.E. Bagley, J.W. Thornburg, A. Hewitt, Evaluation of spray drift using low-speed wind tunnel measurements and dispersion modeling, in: ASTM Special Technical Publication, vol. 1527 STP, 2011, pp. 261-281.
17. W. Gopel, T.A. Jones, M. Kleitz, I. Lundstrom, and T. Seiyama Sensors, Chemical and Biochemical Sensors 2008 Wiley
18. Y. Huang, W. Hoffmann, Y. Lan, W. Wu, and B. Fritz et al. Development of a spray system for an unmanned aerial vehicle platform Appl. Eng. Agric. 25 6 2009 803 809
19. A. Köpke, M. Swigulski, K. Wessel, D. Willkomm, P.T.K. Haneveld, T.E.V. Parker, O.W. Visser, H.S. Lichte, S. Valentin, Simulating wireless and mobile networks in omnet++ the mixim vision, in: Proceedings of the 1st International Conference on Simulation tools and techniques for communications, networks and systems, ICST, 2008, pp. 71:1-71:8.
20. H.P. Kriegel, M. Pfeifle, Density-based clustering of uncertain data, in: Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining, KDD '05, ACM, New York, NY, USA, 2005, pp. 672-677. (Pubitemid 43218338)
21. S. Li, A. Simonian, and B.A. Chin Sensors for agriculture and the food industry Electrochem. Soc. Interface 19 4 2010 41 46
22. C. Mallanda, A. Suri, V. Kunchakarra, S. Iyengar, R. Kannan, A. Durresi, S. Sastry, Simulating Wireless Sensor Networks with OMNeT++, 2005.
23. T. Mitchell Machine Learning 1997 McGraw Hill
24. D. Niculescu Communication paradigms for sensor networks Commun. Mag., IEEE 43 3 2005 116 122 (Pubitemid 40573665)
25. Rotomotion, 2014. Rotomotion LLC, http://www.rotomotion.com/prd-UAV- SR200.html.
26. L. Ruiz Garcia, L. Lunadei, P. Barreiro, and I. Robla A review of wireless sensor technologies and applications in agriculture and food industry: state of the art and current trends Sensors 9 6 2009 4728 4750
27. R. Shah, A. Bonivento, D. Petrovic, E. Lin, J. van Greunen, J. Rabaey, Joint optimization of a protocol stack for sensor networks, in: Military Communications Conference, 2004, MILCOM 2004, 2004 IEEE, vol. 1, 2004, pp. 480-486. (Pubitemid 41610078)
28. S. Simi, R. Kurup, S. Rao, Distributed task allocation and coordination scheme for a multi-uav sensor network, in: Wireless and Optical Communications Networks (WOCN), 2013 Tenth International Conference on, 2013, pp. 1-5.
29. P. Sujit, B. Hudzietz, and S. Saripalli Route planning for angle constrained terrain mapping using an unmanned aerial vehicle J. Intell. Robot. Syst. 69 1-4 2013 273 283
30. M. Tortonesi, C. Stefanelli, E. Benvegnu, K. Ford, N. Suri, and M. Linderman Multiple-uav coordination and communications in tactical edge networks Commun. Mag., IEEE 50 10 2012 48 55
31. J. Valente, D. Sanz, A. Barrientos, J. Cerro, Á. Ribeiro, and C. Rossi An air-ground wireless sensor network for crop monitoring Sensors 11 6 2011 6088 6108
32. A. Varga, The OMNET++ discrete event simulation system, in: Proceedings of the European Simulation Multiconference, SCS - European Publishing House, Prague, Czech Republic, 2001, pp. 319-324.
33. F. Viani, P. Rocca, G. Oliveri, D. Trinchero, and A. Massa Localization, tracking, and imaging of targets in wireless sensor networks: an invited review Radio Sci. 46 5 2011
34. K. Wehrle, M. Gunes, and J. Gross Modeling and Tools for Network Simulation 2005 Springer
35. C. Westphal, Properties of opportunistic and collaborative wireless mesh networks, in: IEEE Global Telecommunications Conference, 2007, pp. 4828-4833. (Pubitemid 351259901)
36. Yamaha, Yamaha Motor Co., 2014, http://rmax.yamaha-motor.com.au.