Agro Informatics Emphasizing its Potentiality as a Full-Fledged Degree Programs: International Context and Indian Potentialities
Author : P. K. Paul, R. R. Sinha, P. S. Aithal, Ricardo Saavedra and Bashiru AremuVolume 9 No.1 January-June 2020 pp 19-26
Abstract
Agricultural Informatics or Agricultural Information Science is the combination of two major and important subject’s viz. ‘Agricultural Science’ and ‘Informatics/Information Science’. This is an interdisciplinary subject and importantly the two major branches from which this is evolved is also bearing interdisciplinary nature. The uses of IT, Computing, or general scientific Documentation is common in almost all the areas and subjects; and as far as agriculture is concerned the documentation and general information management principles were common initially. Gradually like other subjects, Agricultural Informatics also become developed as a field of practice to cater to the need of Agricultural sectors by providing information, IT and technological support. There are various reasons for the introduction of Agricultural Informatics. Initially, it was responsible for information management activities related to the Agriculture and allied areas. Gradually this is become more applied and with diverse in nature. In pre-production activities to postproduction, Agricultural Informatics today become an important practicing field and as well as a field study in major international universities. Even in many developing countries like in India also Agricultural Informatics become a field of study. The field is available with this nomenclature and in other allied nomenclatures. In some context it is noted that the field is available only in some of the streams viz. science or technology, and in some context as a specialization. However, there is a potentiality in offering the field Agricultural Informatics as a branch in other areas, both Indian and International context. This paper is conceptual in nature and deals with such potentialities with a brief overview on Agricultural Informatics including evolution, features and role, and importance.
Keywords
Agricultural Informatics, Agro ICT, Universities, Degrees, Interdisciplinary Sciences, Agriculture, IC4DT
Full Text:
References
[1] Abbasi, A. Z., Islam, N., & Shaikh, Z. A., “A review of wireless sensors and networks’ applications in agriculture,” Computer Standards & Interfaces, Vol. 36, No. 2, pp. 263-270, 2014
[2] Adão, T. et.al., “Hyperspectral imaging: A review on UAV-based sensors, data processing and applications for agriculture and forestry,”. Remote Sensing, Vol. 9, No. 11, pp. 1110-1120, 2017.
[3] Adetunji, K. E., & Joseph, M. K., “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), 2018
[4] Ahmad, T., Ahmad, S., & Jamshed, M., “A knowledge based Indian agriculture: With cloud ERP arrangement”. In 2015 International Conference on Green Computing and Internet of Things (ICGCIoT), pp. 333-340, October, 2015
[5] Aubert, B. A., Schroeder, A., & Grimaudo, J. “IT as enabler of sustainable farming: An empirical analysis of farmers’ adoption decision of precision agriculture technology,” Decision support systems, Vol.54 , No. 1, pp. 510-520, 2012
[6] Babu, S. M., Lakshmi, A. J., & Rao, B. T. “A study on cloud based Internet of Things: CloudIoT”. In 2015 global conference on communication technologies (GCCT) (pp. 60-65). IEEE, April, 2015
[7] Balamurugan, S., Divyabharathi, N., Jayashruthi, K., Bowiya, M., Shermy, R. P., & Shanker, R, “Internet of agriculture: Applying IoT to improve food and farming technology”, International Research Journal of Engineering and Technology (IRJET), Vol. 3, No. 10, pp.713-719, 2016
[8] Bauckhage, C., & Kersting, K, “Data mining and pattern recognition in agriculture,” KI-Künstliche Intelligenz, Vol.27 , No. 4, pp. 313-324, 2013
[9] Channe, H., Kothari, S., & Kadam, D, “Multidisciplinary model for smart agriculture using internet-of-things (IoT), sensors, cloud-computing, mobile-computing & big-data analysis,” Int. J. Computer Technology & Applications, Vol. 6, No. 3, pp. 374-382, 2015
[10] Gill, S. S., Chana, I., & Buyya, R., “IoT based agriculture as a cloud and big data service: the beginning of digital India,” Journal of Organizational and End User Computing (JOEUC), Vol. 29, No. 4, pp.1-23, 2017
[11] Gómez-Chabla, R., Real-Avilés, K., Morán, C., Grijalva, P., & Recalde, T. “IoT Applications in Agriculture: A Systematic Literature Review”. In 2nd International Conference on ICTs in Agronomy and Environment, pp. 68-76, 2009
[12] Goraya, M. S., & Kaur, “H. Cloud computing in agriculture”. HCTL Open International Journal of Technology Innovations and Research (IJTIR), Vol. 16, pp. 2321-1814, 2015
[13] Guardo, E., Di Stefano, A., La Corte, A., Sapienza, M., & Scatà, M., “A fog computing-based iot framework for precision agriculture”, Journal of Internet Technology, Vol . 19,No. 5, pp. 1401-1411, 2018
[14] Kamble, S. S., Gunasekaran, A., & Gawankar, S. A., “Achieving sustainable performance in a data-driven agriculture supply chain: A review for research and applications,” International Journal of Production Economics, Vol. 219, pp. 179-194, 2020
[15] Kajol, R., & Akshay, K. K., Automated Agricultural Field Analysis and Monitoring System Using IOT. International Journal of Information Engineering and Electronic Business, Vol.11, No.2, 2018
[16] Khattab, A., Abdelgawad, A., & Yelmarthi, K. Design and implementation of a cloud-based IoT scheme for precision agriculture. In 2016 28th International Conference on Microelectronics, pp. 201-204, IEEE, December, 2016
[17] Liu, S., Guo, L., Webb, H., Ya, X., & Chang, X. Internet of Things monitoring system of modern eco-agriculture based on cloud computing. IEEE Access, Vol. 7, 37050-37058, 2019
[18] Manos, B., Polman, N., & Viaggi, D. “Agricultural and environmental informatics, governance and management: Emerging research applications,” Z. Andreopoulou (Ed.). IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA, 2011
[19] Muangprathub, J., Boonnam, N., Kajornkasirat, S., Lekbangpong, N., Wanichsombat, A., & Nillaor, P, “IoT and agriculture data analysis for smart farm”. Computers and electronics in agriculture, Vol. 156, pp. 467-474, 2019.
[20] Na, A., & Isaac, W, 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, January, 2016
[21] Nandyala, C. S., & Kim, H. K., “Green IoT agriculture and healthcare application (GAHA)”. International Journal of Smart Home,Vol. 10, No.4, pp. 289-300, 2016
[22] Othman, M. F., & Shazali, K, “Wireless sensor network applications: A study in environment monitoring system,” Procedia Engineering, Vol. 41, pp. 1204-1210, 2012
[23] Ozdogan, B., Gacar, A., & Aktas, H., Digital agriculture practices in the context of agriculture 4.0. Journal of Economics Finance and Accounting, Vol. 4, No. 2, pp. 186-193, 2017
[24] Pau1, Prantosh Kumar Minakshi Ghosh, Dipak Chaterjee, “Information Systems & Networks (ISN): Emphasizing Agricultural Information Networks with a case Study of AGRIS”.Scholars Journal of Agriculture and Veterinary Sciences, Vol. 1,No. 1, pp. 38-41, 2014
[25] Paul, Prantosh Kumar, “Information and Knowledge Requirement for Farming and Agriculture Domain”.International Journal of Soft Computing Bio Informatics, Vol. 4, No. 2, pp. 80-84, 2013
[26] Paul, Prantosh Kumar etal, “Agricultural Problems in India requiring solution through Agricultural Information Systems: Problems and Prospects in Developing Countries,” International Journal of Information Science and Computing,Vol. 2, No.1, pp. 33-40.
[27] Paul, Prantosh Kumar etal. “Cloud Computing and Virtualization in Agricultural Space: A Knowledge Survey”. Palgo Journal of Agriculture, Vol. 4, No. 2, pp.202-206, 2016
[28] Paul, Prantosh Kumar etal, “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,Vol. 5, No. 2, pp. 55-161, 2015
[29] Rezník, T., Charvát, K., Lukas, V., Charvát Jr, K., Horáková, Š., & Kepka, M., “Open data model for (precision) agriculture applications and agricultural pollution monitoring”. In EnviroInfo and ICT for Sustainability 2015. Atlantis Press, Sept. 2015
[30] TongKe, F. “Smart agriculture based on cloud computing and IOT,” Journal of Convergence Information Technology, Vol. 8, No. 2, pp. 210-216, 2013
[31] Tsekouropoulos, G., Andreopoulou, Z., Koliouska, C., Koutroumanidis, T., & Batzios, C, “Internet functions in marketing: multicriteria ranking of agricultural SMEs websites in Greece” Agrárinformatika/journal of agricultural informatics, Vol. 4, No. 2, pp. 22-36, 2013.
[32] Zamora-Izquierdo, M. A., Santa, J., Martínez, J. A., Martínez, V., & Skarmeta, A. F. “Smart farming IoT platform based on edge and cloud computing”. Biosystems engineering, Vol. 177, pp. 4-17, 2013.