Research Article
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Smart Agriculture Applications and Data Analysis with Industry 4.0

Year 2024, Volume: 28 Issue: 4, 726 - 734, 31.08.2024
https://doi.org/10.16984/saufenbilder.1230434

Abstract

The world’s food demand is predicted to exceed its food supply significantly in the coming periods. Many physical factors, such as climate change in access to water, change the production amount and food prices. Efficient resource utilization can be achieved by developing smart agricultural applications using the IoT and image processing techniques. For this purpose, in the proposed study, a smart agriculture application was developed using IoT technology with image processing. In the proposed image processing algorithm, the crops’ images were processed, weight estimates were made, and their numbers were taken. The data we collect instantly can be uploaded to the cloud, and the data collected on the cloud side can be analyzed over the mobile application. Thanks to data analysis with the mobile application we have developed, we can see the current status of the crops and make instant decisions, and it also plays a role in determining market prices. With all these studies, it has been seen that agriculture can be digitalized with the technologies we use, and thus, productivity in agriculture can increase significantly.

References

  • E. Kılavuz, & İ. Erdem, “Agriculture 4.0 applications in the world and transformation of Turkish agriculture,” Social Sciences, 14(4), pp. 133-157, 2019
  • The CropX Company (2022) [Online]. Available: https://cropx.com/cropx-system/
  • CropX: Advanced Farm Management System (2022) [Online]. Available: https://agtecher.com/tr/urun/cropx-farm/
  • The Phytech Company (2022) [Online]. Available: https://www.phytech.com/
  • R. Näsi, T. Hakala, N. Viljanen, E. Honkavaara, P. Peltonen-Sainio, (2017). “How farmer can utilize drone mapping?” [Online]. Available: https://www.fig.net/resources/proceedings/fig_proceedings/fig2017/papers/ts05f/TS05F_naesi_honkavaara_et_al_9004.pdf
  • Dronedeploy application (2022) [Online]. Available: https://www.dronedeploy.com
  • F. Saygılı, A. A., Kaya, E. T. Çalışkan, Ö. E. Kozal, İzmir Ticaret Borsası. Tükelmat A.Ş. TÜRK TARIMININ GLOBAL ENTEGRASYONU VE TARIM 4.0, 2019.
  • N. Xu, (2021, April). “Image processing technology in agriculture”. In Journal of Physics: Conference Series (Vol. 1881, No. 3, p. 032097). IOP Publishing.
Year 2024, Volume: 28 Issue: 4, 726 - 734, 31.08.2024
https://doi.org/10.16984/saufenbilder.1230434

Abstract

References

  • E. Kılavuz, & İ. Erdem, “Agriculture 4.0 applications in the world and transformation of Turkish agriculture,” Social Sciences, 14(4), pp. 133-157, 2019
  • The CropX Company (2022) [Online]. Available: https://cropx.com/cropx-system/
  • CropX: Advanced Farm Management System (2022) [Online]. Available: https://agtecher.com/tr/urun/cropx-farm/
  • The Phytech Company (2022) [Online]. Available: https://www.phytech.com/
  • R. Näsi, T. Hakala, N. Viljanen, E. Honkavaara, P. Peltonen-Sainio, (2017). “How farmer can utilize drone mapping?” [Online]. Available: https://www.fig.net/resources/proceedings/fig_proceedings/fig2017/papers/ts05f/TS05F_naesi_honkavaara_et_al_9004.pdf
  • Dronedeploy application (2022) [Online]. Available: https://www.dronedeploy.com
  • F. Saygılı, A. A., Kaya, E. T. Çalışkan, Ö. E. Kozal, İzmir Ticaret Borsası. Tükelmat A.Ş. TÜRK TARIMININ GLOBAL ENTEGRASYONU VE TARIM 4.0, 2019.
  • N. Xu, (2021, April). “Image processing technology in agriculture”. In Journal of Physics: Conference Series (Vol. 1881, No. 3, p. 032097). IOP Publishing.
There are 8 citations in total.

Details

Primary Language English
Subjects Software Engineering
Journal Section Research Articles
Authors

Yasin Ömercikoğlu 0000-0001-9494-355X

Abdullah Sevin 0000-0001-9694-0870

Early Pub Date August 1, 2024
Publication Date August 31, 2024
Submission Date January 6, 2023
Acceptance Date June 24, 2024
Published in Issue Year 2024 Volume: 28 Issue: 4

Cite

APA Ömercikoğlu, Y., & Sevin, A. (2024). Smart Agriculture Applications and Data Analysis with Industry 4.0. Sakarya University Journal of Science, 28(4), 726-734. https://doi.org/10.16984/saufenbilder.1230434
AMA Ömercikoğlu Y, Sevin A. Smart Agriculture Applications and Data Analysis with Industry 4.0. SAUJS. August 2024;28(4):726-734. doi:10.16984/saufenbilder.1230434
Chicago Ömercikoğlu, Yasin, and Abdullah Sevin. “Smart Agriculture Applications and Data Analysis With Industry 4.0”. Sakarya University Journal of Science 28, no. 4 (August 2024): 726-34. https://doi.org/10.16984/saufenbilder.1230434.
EndNote Ömercikoğlu Y, Sevin A (August 1, 2024) Smart Agriculture Applications and Data Analysis with Industry 4.0. Sakarya University Journal of Science 28 4 726–734.
IEEE Y. Ömercikoğlu and A. Sevin, “Smart Agriculture Applications and Data Analysis with Industry 4.0”, SAUJS, vol. 28, no. 4, pp. 726–734, 2024, doi: 10.16984/saufenbilder.1230434.
ISNAD Ömercikoğlu, Yasin - Sevin, Abdullah. “Smart Agriculture Applications and Data Analysis With Industry 4.0”. Sakarya University Journal of Science 28/4 (August 2024), 726-734. https://doi.org/10.16984/saufenbilder.1230434.
JAMA Ömercikoğlu Y, Sevin A. Smart Agriculture Applications and Data Analysis with Industry 4.0. SAUJS. 2024;28:726–734.
MLA Ömercikoğlu, Yasin and Abdullah Sevin. “Smart Agriculture Applications and Data Analysis With Industry 4.0”. Sakarya University Journal of Science, vol. 28, no. 4, 2024, pp. 726-34, doi:10.16984/saufenbilder.1230434.
Vancouver Ömercikoğlu Y, Sevin A. Smart Agriculture Applications and Data Analysis with Industry 4.0. SAUJS. 2024;28(4):726-34.