Cloud-Based Top-Down and Bottom-Up Approach for Agriculture Data Integration


  • Abhilash Sam Paulstin K. C. Research Scholar, Department of Computer Science, AJK College of Arts and Science, Coimbatore, Tamilnadu, India.
  • Angeline Prasanna G. Former Associate Professor and Head, Department of Computer Science, AJK College of Arts and Science, Coimbatore, Tamilnadu, India.


Agriculture, Big Data, cloud computing, data analysis, data integration, data visualisation, decision support systems


The big data revolution and the growth of information technology have had a profound influence on many areas of our life. Many farms today employ precision farming techniques and capture enormous volumes of data. Making the most of these datasets for decision support requires integrating data from several sources, doing analysis rapidly, and generating conclusions based on the results. In order to analyse agricultural data from several sources, this study presents a framework that utilises cloud-computing. This approach is more scalable, adaptable, cost-effective, and easy to maintain than existing alternatives. Based on extensive interviews, surveys, and literature reviews, the framework offers a workable architecture for cloud-based services for data integration, analysis, and visualisation. This skeleton architecture was used to construct many programmes; as we learned more and faced tougher problems, we tweaked the plan to make it work better. We demonstrate the framework's value with several example applications. Each use case has its own specific requirements for data integration; therefore, it makes use of a different set of services from the suggested architecture.


Download data is not yet available.


A. R. Hevner, S. T. March, J. Park, and S. Ram, ``Design science ininformation systems research,'' MIS Quart., vol. 28, no. 1, pp. 75, 2004.

I. Izhaki, L. Fink, and O. Raphaeli, ``Identifying the factors that affect theaddoption of cloud computing technology among farmers,'' M.S. thesis,Dept. Ind. Eng., Ben Gurion Univ. Negev, Beersheba, Israel, 2018.J. U. Duncombe, “Infrared navigation—Part I: An assessment of feasibility,” IEEE Trans. Electron Devices, vol. ED-11, no. 1, pp. 34–39, Jan. 1959, DOI: 10.1109/TED.2016.2628402.

A. Kaloxylos, A. Groumas, V. Sarris, L. Katsikas, P. Magdalinos,E. Antoniou, Z.Politopoulou, S. Wolfert, C. Brewster, R. Eigenmann,and C. M. Terol, ``A cloud-based farm management system: Architectureand implementation,'' Comput. Electron. Agricult., vol. 100, pp. 168179, Jan. 2014.E. H. Miller, “A note on reflector arrays,” IEEE Trans. Antennas Propagat., to be published.

A. Bahga and V. Madisetti, Cloud Computing: A Hands-On Approach.Scotts Valley, CA, USA: CreateSpace Independent Publishing Platform, 2013. J.H. Davis and J. R. Cogdell, “Calibration program for the 16-foot antenna,” Elect. Eng. Res. Lab., Univ. Texas, Austin, TX, USA, Tech. Memo. NGL-006-69-3, Nov. 15, 1987.

P. M. Mell and T. Grance, The NIST Denition of Cloud Computing.Gaithersburg, MD, USA: National Institute of Standards and Technology, 2011.

AGROVOC. AGROVOC Thesaurus. Accessed: Jul. 22, 2022.G. O. Young, “Synthetic structure of industrial plastics,” in Plastics, vol. 3, Polymers of Hexadromicon, J. Peters, Ed., 2nd ed. New York, NY, USA: McGraw-Hill, 1964, pp. 15-64.

M. S. Goraya and H. Kaur, ``Cloud computing in agriculture,'' Int.J. Technol. Innov. Res., vol. 16, 2015.The Terahertz Wave eBook. ZOmega Terahertz Corp., 2014.

N. F. Noy and D. L. McGuinness. (2001). Ontology Development 101: AGuide to Creating Your First Ontology, Knowledge Systems Laboratory.Accessed: Jun. 3, 2021.

W3C. The Semantic Web Made Easy. Accessed: Feb. 1, 2017.

Ontotext. What is an RDF Triplestore? Accessed: Jul. 18, 2022.

ArcGIS. (Oct. 9, 2021). Powerful Mapping and Analytics Software.Accessed: Jul. 22, 2022.

AWS. Working With a DB Instance in a VPC. Accessed: Jul. 22, 2022.

(2022). AWS. What is AWS Lambda? J.O. Williams, “Narrow-band analyzer,” Ph.D. dissertation, Dept. Elect. Eng., Harvard Univ., Cambridge, MA, USA, 1993.

[14] AWS. What is Amazon Aurora? Accessed: Jul. 17, 22.

[15] A. Goldstein, L. Fink, O. Raphaeli, A. Hetzroni, and G. Ravid, ``Addressing the `tower of babel' of pesticide regulations: An ontology for supporting pest-control decisions,'' J.Agricult. Sci., vol. 157, no. 6, pp. 493-503, Aug. 2019.

[16] M. S. Farooq, S. Riaz, A. Abid, K. Abid, and M. A. Naeem, ``A surveyon the role of IoT in agriculture for the implementation ofsmart farming,'' IEEE Access, vol. 7, pp. 156237156271, 2019.

[17] S. Zhang, Y. Mu, and Y. Sun, ``Early impact of COVID-19 pandemic on the molluscan shellsh supply chain in China,''Ocean Coastal Manage., vol. 213, Nov. 2021.

[18] V. N. Erasmus, T. Kadhila, N. N. Gabriel, K. L. Thyberg, S. Ilungu, andT. Machado, ``Assessment and quantication of Namibian seafoodwaste production,'' Ocean Coastal Manage., vol. 199, Jan. 2021.




How to Cite

Paulstin K. C., A. S. ., & Prasanna G., A. . (2023). Cloud-Based Top-Down and Bottom-Up Approach for Agriculture Data Integration. International Journal of Intelligent Systems and Applications in Engineering, 12(2), 346–354. Retrieved from



Research Article