Abstract
A model of crop specific virtual labs is proposed to improve practical agricultural education by considering the agricultural education system in India. In agricultural education, the theoretical concepts are being imparted through class room lectures and laboratory skills are imparted in the dedicated laboratories. Further, practical agricultural education is being imparted by exposing the students to the field problems through Rural Agricultural Work Experience Program (RAWEP), experiential learning and internships. In spite of these efforts, there is a feeling that the level of practical skills exposed to the students is not up to the desired level. So we have to devise the new ways and means to enhance the practical knowledge and skills of agricultural students to understand the real-time crop problems and provide the corrective steps at the field level. Recent developments in ICTs, thus, provide an opportunity to improve practical education by developing virtual crop labs. The virtual crop labs contain a well organized, indexed and summarized digital data (text, photograph, and video). The digital data corresponds to farm situations reflecting life cycles of several farms of different crops cultivated under diverse farming conditions. The practical knowledge of the students could be improved, if we systematically expose them to virtual crop labs along with course teaching. We can employ cloud computing platform to store huge amounts of data and render to students and other stakeholders in an online manner.
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References
Indian Council of Agricultural Research (ICAR): Fourth deans committee on agricultural education in India: report on norms, standards, academic regulations and UG curricula and syllabi, New Delhi (2007)
National Research Council Report, Transforming Agriculrural Education for a Changing World (2009)
Grogan, R.G.: The science and art of pest and disease diagnosis. Annual Review of Phytopathology 19, 333–351 (1981)
Ratnam, B.V., Krishna Reddy, P., Reddy, G.S.: eSagu: An IT based personalized agricultural extension system prototype–analysis of 51 Farmers’ case studies. International Journal of Education and Development using ICT (IJEDICT) 2(1) (2006)
Schumann, G.L.: Innovations in teaching plant pathology. Annual Review of Phytopathology 41, 377–398 (2003)
Stewart, T.M.: Diagnosis. A Microcomputer-based teaching-aid. Plant Disease 76(6), 644–647 (1992)
Stewart, T.M., Blackshaw, B.P., Duncan, S., Dale, M.L., Zalucki, M.P., Norton, G.A.: Diagnosis: a novel, multimedia, computer-based approach to training crop protection practitioners. Crop Protection 14(3), 241–246 (1995)
Stewart, T.M.: Computer games and other tricks to train plant pathologists. In: Bridge, P.D., Jeffries, P., Morse, D.R. (eds.) Information Technology, Plant Pathology and Biodeversity. CAB International, UK (1997)
Stewart, T., Galea, V.: Approaches to training practioners in the art and science of plant disease diagnosis. Plant Disease 90, 539–547 (2006)
Xin, J., Beck, H.W., Halsey, L.A., Fletcher, J.H., Zazueta, F.S., Momol, T.: Development of a distance diagnostic and identification system for plant, insect and disease problems. Applied Entineering in Agriculture 17(4), 561–565 (2001)
Zhang, S., Xin, J., Momol, T., Zazueta, F.: DDISMedia: A digital media library for pest diagnosis. In: IAALD AFITA WEEA 2008, World Conference on Agricultural Information and IT (2008)
Krishna Reddy, P., Shyamasundar Reddy, G., Bhaskar Reddy, B.: Extending ICTs to impart applied agricultural knowledge. In: National Conference on Agro-Informatics and Precision Farming, December 2-3. University of Agricultural Sciences (UAS), Raichur, India (2009)
Bhaskar Reddy, B., Krishna Reddy, P., Kumaraswamy, M.: A framework of crop specific virtual labs to impart applied agricultural knowledge. In: Proceedings of Third National Conference on Agro-Informatics and Precision Agriculture 2012 (AIAP 2012), Hyderabad, India, Organized by INSAIT, pp. 69–74. Allied Publishers (2012)
Mahadevaiah, M., Raji Reddy, D., Sashikala, G., Sreenivas, G., Krishna Reddy, P., Bhaskar Redddy, B., Nagarani, K., Rathore, L.S., Singh, K.K., Chattopadhyay, N.: A framework to develop content for improving agromet advisories. In: The 8th Asian Federation for Information Technology in Agriculture (AFITA 2012), Taipei, September 3-6 (2012)
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Krishna Reddy, P., Bhaskar Reddy, B., Rama Rao, D. (2012). A Model of Virtual Crop Labs as a Cloud Computing Application for Enhancing Practical Agricultural Education. In: Srinivasa, S., Bhatnagar, V. (eds) Big Data Analytics. BDA 2012. Lecture Notes in Computer Science, vol 7678. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35542-4_6
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DOI: https://doi.org/10.1007/978-3-642-35542-4_6
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