Agro Informatics and Its Way with Integrating Emerging Technologies?A Potential Utilizations & Educational Perspective
Keywords:
Agricultural Informatics, ICT, Agricultural Information Technology, Higher Education, Emerging Technologies, AIoT, Emerging DegreesAbstract
Agriculture becomes an important and valuable concern for each and everyone due to its importance in our daily lives. Without agriculture and particularly cultivation and farming it is difficult to survive and in this context it is essential to have better healthy agricultural systems throughout. More importantly, there should be proper mechanism in healthy and modern agricultural development. And regarding this various type of initiatives and methods could be followed. The method of agriculture is changing rapidly and growing with the support of different tools and technologies viz. genetic technologies, information technology & computing, nanotechnology, Management Science and Technology etc. The interaction and applications of Information Technology and Computing led a subject called Agricultural Informatics. Agricultural Informatics is associated with all the components and sub components of the Information Technology. However the latest applications and integration of the emerging technologies of IT viz. Big Data and Analytics, AI & Robotics, Cloud Computing & Virtualization, Internet of Things etc lead more development and thus Agricultural Informatics become widely changed its actual periphery and functioning. The emerging Agricultural Informatics leading the more progress and development in agro systems and this ultimately helping in society at a large. This paper is theoretical and policy based; discussed various aspects of Agricultural Informatics including its evolution, features and specially the impact of emerging technologies with reference agriculture. Paper focused on possibilities of education al degrees at different level of Agricultural Informatics with reference to emerging technologies
References
Abbasi, A. Z., Islam, N., & Shaikh, Z. A. (2014). A review of wireless sensors and networks` applications in agriculture. Computer Standards & Interfaces, 36(2), 263-270.
Ad?o, T., Hru?ka, J., P?dua, L., Bessa, J., Peres, E., Morais, R., & Sousa, J. J. (2017). Hyperspectral imaging: A review on UAV-based sensors, data processing and applications for agriculture and forestry. Remote Sensing, 9(11), 1110.
Adetunji, K. E., & Joseph, M. K. (2018, August). Development of a Cloud-based Monitoring System using 4duino: Applications in Agriculture. In 2018 International Conference on Advances in Big Data, Computing and Data Communication Systems (icABCD) (pp. 4849-4854). IEEE.
Ahmad, T., Ahmad, S., & Jamshed, M. (2015, October). A knowledge based Indian agriculture: With cloud ERP arrangement. In 2015 International Conference on Green Computing and Internet of Things (ICGCIoT) (pp. 333-340). IEEE.
Aubert, B. A., Schroeder, A., & Grimaudo, J. (2012). IT as enabler of sustainable farming: An empirical analysis of farmers` adoption decision of precision agriculture technology. Decision support systems, 54(1), 510-520.
Babu, S. M., Lakshmi, A. J., & Rao, B. T. (2015, April). A study on cloud based Internet of Things: CloudIoT. In 2015 global conference on communication technologies (GCCT) (pp. 60-65). IEEE.
Balamurugan, S., Divyabharathi, N., Jayashruthi, K., Bowiya, M., Shermy, R. P., & Shanker, R. (2016). Internet of agriculture: Applying IoT to improve food and farming technology. International Research Journal of Engineering and Technology (IRJET), 3(10), 713-719.
Bauckhage, C., & Kersting, K. (2013). Data mining and pattern recognition in agriculture. KI-K?nstliche Intelligenz, 27(4), 313-324.
Channe, H., Kothari, S., & Kadam, D. (2015). Multidisciplinary model for smart agriculture using internet-of-things (IoT), sensors, cloud-computing, mobile-computing & big-data analysis. Int. J. Computer Technology & Applications, 6(3), 374-382.
Gill, S. S., Chana, I., & Buyya, R. (2017). IoT based agriculture as a cloud and big data service: the beginning of digital India. Journal of Organizational and End User Computing (JOEUC), 29(4), 1-23.
G?mez-Chabla, R., Real-Avil?s, K., Mor?n, C., Grijalva, P., & Recalde, T. (2019, January). IoT Applications in Agriculture: A Systematic Literature Review. In 2nd International Conference on ICTs in Agronomy and Environment (pp. 68-76). Springer, Cham.
Goraya, M. S., & Kaur, H. (2015). Cloud computing in agriculture. HCTL Open International Journal of Technology Innovations and Research (IJTIR), 16, 2321-1814.
Guardo, E., Di Stefano, A., La Corte, A., Sapienza, M., & Scat?, M. (2018). A fog computing-based iot framework for precision agriculture. Journal of Internet Technology, 19(5), 1401-1411.
Kamble, S. S., Gunasekaran, A., & Gawankar, S. A. (2020). Achieving sustainable performance in a data-driven agriculture supply chain: A review for research and applications. International Journal of Production Economics, 219, 179-194.
Kajol, R., & Akshay, K. K. (2018). Automated Agricultural Field Analysis and Monitoring System Using IOT. International Journal of Information Engineering and Electronic Business, 11(2), 17.
Khattab, A., Abdelgawad, A., & Yelmarthi, K. (2016, December). Design and implementation of a cloud-based IoT scheme for precision agriculture. In 2016 28th International Conference on Microelectronics (ICM) (pp. 201-204). IEEE.
Liu, S., Guo, L., Webb, H., Ya, X., & Chang, X. (2019). Internet of Things monitoring system of modern eco-agriculture based on cloud computing. IEEE Access, 7, 37050-37058.
Manos, B., Polman, N., & Viaggi, D. (2011). Agricultural and environmental informatics, governance and management: Emerging research applications. Z. Andreopoulou (Ed.). IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA).
Muangprathub, J., Boonnam, N., Kajornkasirat, S., Lekbangpong, N., Wanichsombat, A., & Nillaor, P. (2019). IoT and agriculture data analysis for smart farm. Computers and electronics in agriculture, 156, 467-474.
Na, A., & Isaac, W. (2016, January). Developing a human-centric agricultural model in the IoT environment. In 2016 International Conference on Internet of Things and Applications (IOTA) (pp. 292-297). IEEE.
Nandyala, C. S., & Kim, H. K. (2016). Green IoT agriculture and healthcare application (GAHA). International Journal of Smart Home, 10(4), 289-300.
Nayyar, A., & Puri, V. (2016). Smart farming: IoT based smart sensors agriculture stick for live temperature and moisture monitoring using Arduino, cloud computing & solar technology. In Proc. of The International Conference on Communication and Computing Systems (ICCCS-2016) (pp. 9781315364094-121).
Ojha, T., Misra, S., & Raghuwanshi, N. S. (2015). Wireless sensor networks for agriculture: The state-of-the-art in practice and future challenges. Computers and Electronics in Agriculture, 118, 66-84.
Othman, M. F., & Shazali, K. (2012). Wireless sensor network applications: A study in environment monitoring system. Procedia Engineering, 41, 1204-1210.
Ozdogan, B., Gacar, A., & Aktas, H. (2017). Digital agriculture practices in the context of agriculture 4.0. Journal of Economics Finance and Accounting, 4(2), 186-193.
Pau1, Prantosh Kumar Minakshi Ghosh, Dipak Chaterjee. (2014)Information Systems & Networks (ISN): Emphasizing Agricultural Information Networks with a case Study of AGRIS.Scholars Journal of Agriculture and Veterinary Sciences. 1 (1).
Paul, Prantosh Kumar (2013) Information and Knowledge Requirement for Farming and Agriculture Domain.International Journal of Soft Computing Bio Informatics4 (2), 80-84
Paul, Prantosh Kumar et.al. (2015) Agricultural Problems in India requiring solution through Agricultural Information Systems: Problems and Prospects in Developing Countries. International Journal of Information Science and Computing 2 (1), 33-40
Paul, Prantosh Kumar et.al. (2016). Cloud Computing and Virtualization in Agricultural Space: A Knowledge Survey. Palgo Journal of Agriculture, 4(2), 202-206
Paul, Prantosh Kumar et.al. (2015). Information and Communication Technology and Information: their role in Tea Cultivation and Marketing in the context of Developing Countries?A Theoretical Approach. Current Trends in Biotechnology and Chemical Research. 5 (2), 155-161
Rezn?k, T., Charv?t, K., Lukas, V., Charv?t Jr, K., Hor?kov?, ?., & Kepka, M. (2015, September). Open data model for (precision) agriculture applications and agricultural pollution monitoring. In EnviroInfo and ICT for Sustainability 2015. Atlantis Press.
TongKe, F. (2013). Smart agriculture based on cloud computing and IOT. Journal of Convergence Information Technology, 8(2).
Tsekouropoulos, G., Andreopoulou, Z., Koliouska, C., Koutroumanidis, T., & Batzios, C. (2013). Internet functions in marketing: multicriteria ranking of agricultural SMEs websites in Greece. Agr?rinformatika/journal of agricultural informatics, 4(2), 22-36.
Zamora-Izquierdo, M. A., Santa, J., Mart?nez, J. A., Mart?nez, V., & Skarmeta, A. F. (2019). Smart farming IoT platform based on edge and cloud computing. Biosystems engineering, 177, 4-17.
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