Agricultural Informatics With Reference To Its Possibilities and Potentialities in Management, Commerce and Allied Branches

P.K. Paul¹ , R.R. Sinha² , Anil Bhuimalli³ , Pappachan Baby⁴ , Ricardo Saavedra⁵ , Bashiru Aremu⁶

Section:Research Paper, Product Type: Journal-Paper
Vol.8 , Issue.2 , pp.35-43, Jun-2020

Online published on Jun 30, 2020

Copyright © P.K. Paul, R.R. Sinha, Anil Bhuimalli, Pappachan Baby, Ricardo Saavedra, Bashiru Aremu . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

View this paper at   Google Scholar | DPI Digital Library

XML View     PDF Download

How to Cite this Paper

Abstract :
Agricultural Informatics is an important and emerging practicing domain and technologies responsible for the agricultural related activities ranging from the information, documentation and technology related aspects. This is ultimately dedicated to ICT practice in agriculture and allied areas including in horticulture and environmental sciences. Further, this is applicable in modernization, capacity building and development in agricultural activities leading to further production. Agricultural Informatics is become a field of practice also in recent past due to its growing importance and role. Internationally many universities have started academic programs leading to Bachelors, Masters and Doctoral. Agricultural Informatics as an interdisciplinary subject and apart from the technology and information here important role is exists of Management Sciences including Commerce and Economics. Due to the role there is a high potential to offer Agricultural Informatics and allied branches; mainly in science and engineering streams; whereas due to managerial role the branch can also be offered with Management and Economical Sciences related subjects internationally. This paper is conceptual nature and deals with various aspects of Agricultural Informatics including its evolution, stakeholders, and features. Paper also discusses about the roles in general of Agricultural Informatics regarding smart agricultural sciences. Further, due to the objective of the paper this is emphasized with potentialities of the management and commercial sciences in respect of Agricultural Informatics.

Key-Words / Index Term :
Agricultural Informatics, ICT, Agricultural Information Technology, Commerce, Management Education, Emerging Degrees, Higher Education

References :
[1] 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.
[2] 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.
[3] 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.
[4] 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.
[5] 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.
[6] 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.
[7] 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.
[8] Bauckhage, C., & Kersting, K. (2013). Data mining and pattern recognition in agriculture. KI-K?nstliche Intelligenz, 27(4), 313-324.
[9] 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.
[10] 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.
[11] 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.
[12] Goraya, M. S., & Kaur, H. (2015). Cloud computing in agriculture. HCTL Open International Journal of Technology Innovations and Research (IJTIR), 16, 2321-1814.
[13] 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.
[14] 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.
[15] 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.
[16] 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.
[17] 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.
[18] 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).
[19] 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.
[20] 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.
[21] Nandyala, C. S., & Kim, H. K. (2016). Green IoT agriculture and healthcare application (GAHA). International Journal of Smart Home, 10(4), 289-300.
[22] 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).
[23] 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.
[24] Othman, M. F., & Shazali, K. (2012). Wireless sensor network applications: A study in environment monitoring system. Procedia Engineering, 41, 1204-1210.
[25] 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.
[26] 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).
[27] Paul, Prantosh Kumar (2013) Information and Knowledge Requirement for Farming and Agriculture Domain.International Journal of Soft Computing Bio Informatics4 (2), 80-84
[28] 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
[29] Paul, Prantosh Kumar et.al. (2016). Cloud Computing and Virtualization in Agricultural Space: A Knowledge Survey. Palgo Journal of Agriculture, 4(2), 202-206
[30] 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
[31] 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.
[32] TongKe, F. (2013). Smart agriculture based on cloud computing and IOT. Journal of Convergence Information Technology, 8(2).
[33] 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.
[34] 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