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Date of this Version

2015

Document Type

Article

Citation

Abraham, L.T., Ganesan, P., Sujatha, R. (2014). Agricultural content dissemination: a study among farmers in Kottayam district of Kerala. Retrived from http://www.ifpri.org/sites/default/files/publications/ ifpridp01165.pdf

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Qi, G., Wang, H. & Zuo,T.(2007) Farmers' Access to Internet Information: Pathways, Interests and Cost. In: Li D. (eds) Computer And Computing Technologies In Agriculture, Volume II. CCTA 2007. The International Federation for Information Processing, vol 259. Springer, Boston, MA, 2008, 1155-1168. https://link.springer.com/content/pdf/10.1007/ 978-0-387-77253-0_50.pdf (assessed on 13 April,2018)

Raj, S., (2013) e-Agriculture Prototype for Knowledge Facilitation among Tribal Farmers of North-East India: Innovations, Impact and Lessons. Journal Of Agricultural Education & Extension, 19(2), 113-131. doi:10.1080 / 1389224X .2012 .718247

Rohila, A. K., Yadav, K., & Ghanghas, B. S. (2017). Role of Information and communication technology (ICT) in agriculture and extension. Journal of Applied and Natural Science, 9(2), 1097-1100. https://doi.org/10.31018/jans.v9i2.1328

Abstract

Information and Communication Technology (ICT) can be used as a potential tool to develop rural India, but the awareness and positive attitude towards the facilities offered by it is a necessity to use it to the full potential. The study tries to analyze the awareness of farmers about the various ICT tools in agriculture. Survey using questionnaire was resorted to collect data from user group. The user group under consideration consists of farmers registered to four KrishiBhavans in Nedumangad block, Thiruvananthapuram District of Kerala. Farmers with more than 1 acre of land registered in KrishiBhavans in the four selected blocks were 1040. From them, a sample size of fifteen percentages (156) of farmers is selected. Data obtained through questionnaire was tabulated, analyzed and interpreted using Microsoft Office Excel 2010 and SPSS 20. Chi-square test was applied for finding significant association between the categorical variables

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