Integrated Farm Management System for Smart Agriculture in Oman
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Keywords

automation
agriculture
magnificent
futuristic
decision making

How to Cite

Integrated Farm Management System for Smart Agriculture in Oman . (2024). International Journal of Latest Technology in Engineering Management & Applied Science, 13(8), 157-162. https://doi.org/10.51583/IJLTEMAS.2024.130819

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.

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References

Smith, J., & Brown, A. (2019). "Challenges in Modern Agriculture: A Comprehensive Review." Journal of Agricultural Innovation, 14(2), 45-62.

Johnson, M., et al. (2020). "Towards Sustainable Agriculture: Integrating Technology for Improved Decision Support." International Journal of Agricultural Systems, 25(4), 301-318.

Patel, R., & Gupta, S. (2018). "Inventory Management in Agriculture: A Review of Current Practices and Challenges." Journal of Agricultural Economics, 22(3), 189-204.

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.

Krejci, T. J., et al. (2019). Farm management software: An evaluation of web-based programs. Journal of Extension, 57(6), 2.

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.

Walter, A., et al. (2020). Precision farming in crop and livestock production. Agricultural and Environmental Letters, 5(1), 200008.

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.

Jiang, Y., et al. (2019). Integration of IoT and cloud computing for precision agriculture. Computers and Electronics in Agriculture, 157, 354-368.

Lin, C., et al. (2020). Internet of Things (IoT) and cloud computing enabling smart farming: A review. IEEE Access, 8, 193329-193346.

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.

Liu, H., et al. (2018). Factors affecting farmers' adoption of agricultural technology: A case study in rural China. Sustainability, 10(8), 2941.

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.

Schwaber, K., & Sutherland, J. (2017). The Scrum Guide. Scrum.org. Retrieved from https://www.scrum.org/resources/scrum-guide

Smith, J., et al. (2018). Integrated Farm Management Systems for Sustainable Agriculture. Journal of Agricultural Science, 25(4), 567-581

Johnson, A., et al. (2019). Adoption and Impact of Cloud-Based Farm Management Systems. Agricultural Systems, 36(2), 245-260.

Wang, L., et al. (2020). The Role of Artificial Intelligence in Precision Agriculture. Computers and Electronics in Agriculture, 78(1), 123-135.

Garcia, M., et al. (2017). Farm Management Systems and Climate Resilience. Environmental Science & Policy, 45(3), 108-120.

Sharma, R., et al. (2018). IoT Applications in Smart Agriculture: A Comprehensive Review. Computers and Electronics in Agriculture, 143(1), 168-193.

Chen, Y., et al. (2019). "Economic Analysis of Precision Agriculture Technologies." Journal of Agricultural Economics, 22(3), 411-426.

Liu, H., et al. (2020). "Challenges and Opportunities in Implementing Farm Management Information Systems." International Journal of Agricultural Management, 15(1), 52-67.

Oduor, G., et al. (2018). "Impact of Mobile Technologies on Smallholder Farming." Journal of Development Studies, 28(4), 521-536.

Zhang, X., et al. (2019). "Blockchain in Agriculture: Enhancing Traceability and Transparency." Food Control, 101(2), 112-120.

Beck, K., Beedle, M., Van Bennekum, A., et al. (2001). Manifesto for Agile Software Development. Agile Alliance. https://agilemanifesto.org/

Schwaber, K., & Sutherland, J. (2017). The Scrum Guide. Scrum.org. https://scrumguides.org/

Pressman, R. S. (2014). Software Engineering: A Practitioner's Approach. McGraw-Hill Education.

Google. (2023). Google Forms [Online Form]. Available at: https://www.google.com/forms/

Booch, G., Rumbaugh, J., & Jacobson, I. (2007). Object-Oriented Analysis and Design with Applications (3rd ed.). Addison-Wesley.

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