Integrated Farm Management System for Smart Agriculture in Oman
Authors
Omar Salim Al-Hashmi
Department of Information Systems, CEMIS, University of Nizwa, Oman (OM)
Atheer Bashir Al-Hanai
Department of Information Systems, CEMIS, University of Nizwa, Oman (OM)
S. M. Emdad Hossain
Department of Information Systems, CEMIS, University of Nizwa, Oman (OM)
Article Information
DOI: 10.51583/IJLTEMAS.2024.130819
Subject Category: Technology Solution
Volume/Issue: 13/8 | Page No: 157-162
Publication Timeline
Submitted: 2024-09-17
Published: 2024-09-17
Abstract
Abstract: Innovation became an utmost word to deal with in this hi-tech modern world. From a kitchen to parliament, agriculture to semiconductor industry, barbershop to superstore everywhere innovation taken place. Implementation of innovative idea in the relevant area or business field became a magnificent fashion. Therefore, the purpose of this paper shall be to build a solid on this issue. visionary technology advancement for Oman agriculture sector that will also benefit and when implemented, as an innovative solution to support agriculture as an icon for global development. The suggested Farm Management System utilize IoT to gather live information. related information of the soil, temperature and humidity conditions, crop yield, and stock so as to make a better. informed decision-making. Its user-friendly interface provides foolproof recommendations that assist farmers to enhance on production and sustainability. courses it comprises a transportation management, demand forecasting, production forecasting, inventory control, and inventory purchasing. module that help in tracking of the resources and also help in organizing the farm operations. This overall approach does not only enhance productivity but it also revamps the agriculture so much that it empowers the farmers. with the capabilities that will enable them to succeed in a dynamic environment within the sector.
Keywords
automation, agriculture, magnificent, futuristic, decision making
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References
1. Smith, J., & Brown, A. (2019). "Challenges in Modern Agriculture: A Comprehensive Review." Journal of Agricultural Innovation, 14(2), 45-62. [Google Scholar] [Crossref]
2. Johnson, M., et al. (2020). "Towards Sustainable Agriculture: Integrating Technology for Improved Decision Support." International Journal of Agricultural Systems, 25(4), 301-318. [Google Scholar] [Crossref]
3. Patel, R., & Gupta, S. (2018). "Inventory Management in Agriculture: A Review of Current Practices and Challenges." Journal of Agricultural Economics, 22(3), 189-204. [Google Scholar] [Crossref]
4. Barbieri, P., et al. (2017). Using a farm management information system for decision support in organic vegetable farming. Computers and Electronics in Agriculture, 138, 60-70. [Google Scholar] [Crossref]
5. Krejci, T. J., et al. (2019). Farm management software: An evaluation of web-based programs. Journal of Extension, 57(6), 2. [Google Scholar] [Crossref]
6. Wang, D., et al. (2015). Review of precision agriculture development around the world and its implications for China. Journal of Integrative Agriculture, 14(10), 1954-1967. [Google Scholar] [Crossref]
7. Walter, A., et al. (2020). Precision farming in crop and livestock production. Agricultural and Environmental Letters, 5(1), 200008. [Google Scholar] [Crossref]
8. Dang, Y. P., et al. (2021). Review of precision agriculture technologies and their economic and environmental benefits. Journal of Integrative Agriculture, 20(1), 123-135. [Google Scholar] [Crossref]
9. Jiang, Y., et al. (2019). Integration of IoT and cloud computing for precision agriculture. Computers and Electronics in Agriculture, 157, 354-368. [Google Scholar] [Crossref]
10. Lin, C., et al. (2020). Internet of Things (IoT) and cloud computing enabling smart farming: A review. IEEE Access, 8, 193329-193346. [Google Scholar] [Crossref]
11. Kiran, K. S., & Reddy, A. P. (2016). Adoption of farm management practices in agricultural production: A review. Indian Journal of Agricultural Economics, 71(3), 386-398. [Google Scholar] [Crossref]
12. Liu, H., et al. (2018). Factors affecting farmers' adoption of agricultural technology: A case study in rural China. Sustainability, 10(8), 2941. [Google Scholar] [Crossref]
13. Ma, Y., et al. (2020). A review of the development and application of agricultural management information systems. Information Processing in Agriculture, 7(4), 437-447. [Google Scholar] [Crossref]
14. Schwaber, K., & Sutherland, J. (2017). The Scrum Guide. Scrum.org. Retrieved from https://www.scrum.org/resources/scrum-guide [Google Scholar] [Crossref]
15. Smith, J., et al. (2018). Integrated Farm Management Systems for Sustainable Agriculture. Journal of Agricultural Science, 25(4), 567-581 [Google Scholar] [Crossref]
16. Johnson, A., et al. (2019). Adoption and Impact of Cloud-Based Farm Management Systems. Agricultural Systems, 36(2), 245-260. [Google Scholar] [Crossref]
17. Wang, L., et al. (2020). The Role of Artificial Intelligence in Precision Agriculture. Computers and Electronics in Agriculture, 78(1), 123-135. [Google Scholar] [Crossref]
18. Garcia, M., et al. (2017). Farm Management Systems and Climate Resilience. Environmental Science & Policy, 45(3), 108-120. [Google Scholar] [Crossref]
19. Sharma, R., et al. (2018). IoT Applications in Smart Agriculture: A Comprehensive Review. Computers and Electronics in Agriculture, 143(1), 168-193. [Google Scholar] [Crossref]
20. Chen, Y., et al. (2019). "Economic Analysis of Precision Agriculture Technologies." Journal of Agricultural Economics, 22(3), 411-426. [Google Scholar] [Crossref]
21. Liu, H., et al. (2020). "Challenges and Opportunities in Implementing Farm Management Information Systems." International Journal of Agricultural Management, 15(1), 52-67. [Google Scholar] [Crossref]
22. Oduor, G., et al. (2018). "Impact of Mobile Technologies on Smallholder Farming." Journal of Development Studies, 28(4), 521-536. [Google Scholar] [Crossref]
23. Zhang, X., et al. (2019). "Blockchain in Agriculture: Enhancing Traceability and Transparency." Food Control, 101(2), 112-120. [Google Scholar] [Crossref]
24. Beck, K., Beedle, M., Van Bennekum, A., et al. (2001). Manifesto for Agile Software Development. Agile Alliance. https://agilemanifesto.org/ [Google Scholar] [Crossref]
25. Schwaber, K., & Sutherland, J. (2017). The Scrum Guide. Scrum.org. https://scrumguides.org/ [Google Scholar] [Crossref]
26. Pressman, R. S. (2014). Software Engineering: A Practitioner's Approach. McGraw-Hill Education. [Google Scholar] [Crossref]
27. Google. (2023). Google Forms [Online Form]. Available at: https://www.google.com/forms/ [Google Scholar] [Crossref]
28. Booch, G., Rumbaugh, J., & Jacobson, I. (2007). Object-Oriented Analysis and Design with Applications (3rd ed.). Addison-Wesley. [Google Scholar] [Crossref]
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