Araştırma Makalesi

Internet of Things Technology Based Agricultural Spraying Drone Design for Remote Farming Applications

Cilt: 17 Sayı: 3 27 Eylül 2021
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Internet of Things Technology Based Agricultural Spraying Drone Design for Remote Farming Applications

Öz

Internet of things and Drones are two new promising innovative technologies which is inevitable in the internet era. These technologies provide modern solutions for many fields. One of these fields is agriculture. Agriculture plays pivot role for humankind, because more than half of the World’s population depends on agriculture. In this study internet of things technology is applied to a drone which is capable for doing agricultural works like spraying, carrying and real time monitoring. An on board android device which is mount on the drone is used to manage the drone over internet by a graphical user interface software designed within the study. The farmer communicates with on board android device over internet by remote desktop application in order to manage drone and get data. The drone will help farmers by getting live data from the farm and do necessary works remotely. The aim of this study is to enable farmers to do remote farming. Agricultural activities have declined in recent years with the increase in migration from the village to the city. Thus, farmers will be able to make remote farming.

Anahtar Kelimeler

Destekleyen Kurum

Yozgat Bozok Üniversitesi

Proje Numarası

BAP 6602b-MMF/18-194

Kaynakça

  1. S. K. Mohapatra, J. N. Bhuyan, P. Asundi, and A. Singh, 2016.“A Solution Framework For Managıng Internet Of Things (Iot),” Int. J. Comput. Networks Commun.; 8(6):73-87 doi: 10.5121/ijcnc.2016.8606.
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  3. R. Vidhya and K. Valarmathi, 2018.“Survey on Automatic Monitoring of Hydroponics Farms Using IoT,” in Proceedings of the 3rd International Conference on Communication and Electronics Systems ICCES 2018; 2018: 125-128.doi: 10.1109/CESYS.2018.8724103.
  4. B. Basnet and J. Bang, 2018.“The State-of-the-Art of Knowledge-Intensive Agriculture: A Review on Applied Sensing Systems and Data Analytics,” J. Sensors; 2018: 1-13. doi: 10.1155/2018/3528296.
  5. K. W. Jaggard, A. Qi, and E. S. Ober, 2010.“Possible changes to arable crop yields by 2050,” Philos. Trans. R. Soc. B Biol. Sci.; 365(1554): 2835-2851. doi: 10.1098/rstb.2010.0153.
  6. S. Chakraborty and A. C. Newton, 2011.“Climate change, plant diseases and food security: An overview,” Plant Pathology; 60(1): 2-14. doi: 10.1111/j.1365-3059.2010.02411.x.
  7. M. A. Jubair, S. Hossain, M. A. Al Masud, K. M. Hasan, S. H. S. Newaz, and M. S. Ahsan, 2018.“Design and development of an autonomous agricultural drone for sowing seeds,” IET Conf. Publ.; 2018(CP750): 6-9. doi: 10.1049/cp.2018.1598.
  8. D. Gao, Q. Sun, B. Hu, and S. Zhang, 2020.“A framework for agricultural pest and disease monitoring based on internet-of-things and unmanned aerial vehicles,” Sensors (Switzerland); 20(5): 1487. doi: 10.3390/s20051487.

Ayrıntılar

Birincil Dil

İngilizce

Konular

Mühendislik

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

27 Eylül 2021

Gönderilme Tarihi

16 Ağustos 2020

Kabul Tarihi

15 Eylül 2021

Yayımlandığı Sayı

Yıl 2021 Cilt: 17 Sayı: 3

Kaynak Göster

APA
Altın, C., Ulutaş, H., Orhan, E., Er, O., & Akdoğan, V. (2021). Internet of Things Technology Based Agricultural Spraying Drone Design for Remote Farming Applications. Celal Bayar University Journal of Science, 17(3), 253-260. https://doi.org/10.18466/cbayarfbe.781368
AMA
1.Altın C, Ulutaş H, Orhan E, Er O, Akdoğan V. Internet of Things Technology Based Agricultural Spraying Drone Design for Remote Farming Applications. Celal Bayar University Journal of Science. 2021;17(3):253-260. doi:10.18466/cbayarfbe.781368
Chicago
Altın, Cemil, Hasan Ulutaş, Eyyüp Orhan, Orhan Er, ve Volkan Akdoğan. 2021. “Internet of Things Technology Based Agricultural Spraying Drone Design for Remote Farming Applications”. Celal Bayar University Journal of Science 17 (3): 253-60. https://doi.org/10.18466/cbayarfbe.781368.
EndNote
Altın C, Ulutaş H, Orhan E, Er O, Akdoğan V (01 Eylül 2021) Internet of Things Technology Based Agricultural Spraying Drone Design for Remote Farming Applications. Celal Bayar University Journal of Science 17 3 253–260.
IEEE
[1]C. Altın, H. Ulutaş, E. Orhan, O. Er, ve V. Akdoğan, “Internet of Things Technology Based Agricultural Spraying Drone Design for Remote Farming Applications”, Celal Bayar University Journal of Science, c. 17, sy 3, ss. 253–260, Eyl. 2021, doi: 10.18466/cbayarfbe.781368.
ISNAD
Altın, Cemil - Ulutaş, Hasan - Orhan, Eyyüp - Er, Orhan - Akdoğan, Volkan. “Internet of Things Technology Based Agricultural Spraying Drone Design for Remote Farming Applications”. Celal Bayar University Journal of Science 17/3 (01 Eylül 2021): 253-260. https://doi.org/10.18466/cbayarfbe.781368.
JAMA
1.Altın C, Ulutaş H, Orhan E, Er O, Akdoğan V. Internet of Things Technology Based Agricultural Spraying Drone Design for Remote Farming Applications. Celal Bayar University Journal of Science. 2021;17:253–260.
MLA
Altın, Cemil, vd. “Internet of Things Technology Based Agricultural Spraying Drone Design for Remote Farming Applications”. Celal Bayar University Journal of Science, c. 17, sy 3, Eylül 2021, ss. 253-60, doi:10.18466/cbayarfbe.781368.
Vancouver
1.Cemil Altın, Hasan Ulutaş, Eyyüp Orhan, Orhan Er, Volkan Akdoğan. Internet of Things Technology Based Agricultural Spraying Drone Design for Remote Farming Applications. Celal Bayar University Journal of Science. 01 Eylül 2021;17(3):253-60. doi:10.18466/cbayarfbe.781368

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