Smart Agriculture Applications and Data Analysis with Industry 4.0

Year 2024, Volume: 28 Issue: 4, 726 - 734

Yasin Ömercikoğlu Abdullah Sevin

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.

Keywords

Industry 4.0, Smart Agriculture, IoT, Big Data, Image Processing

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.