Main Article Content


The agriculture research and extension institutes are a major source of agricultural information and they are making full use of all information dissemination methods to bridge the information gap among farmers. Social media platforms are dominating agricultural information dissemination platforms in field level. The present study was conducted to assess the effect of agricultural information disseminated through social media on farmer’s knowledge level. The Ex-post facto research design was adopted for the study with a sample of 120 respondents, covering all three erstwhile districts form the Southern Telangana Zone of Telangana state. majority of the respondents had low (75.20%) level of knowledge on agricultural technologies followed by medium (26.67%) and high (0.83%) before intervention to social media. after intervention to social media the respondents had low (51.70%) level of knowledge on agriculture technologies followed medium (42.50%) and high (5.80%). It was found that significant difference existed between the extent of knowledge of respondents before and after use of social media (Z value 8.76). The variables digital literacy, social media usage, information processing, mode of access and preference, and social media participation found to be positive and significant relation with knowledge levels on agriculture technologies at one per cent level of significance. Further variables farm size, social media network and readiness to accept information found to positive and significant at five per cent level of significance.


Agricultural information Extent of knowledge Information dissemination Social media

Article Details

How to Cite
Guntukogula Pattabhi, S., Prashanth, P., Sreenivasulu, M., & Madavilata, A. (2023). Effectiveness of social media agricultural information on farmer’s knowledge . Environment Conservation Journal, 24(1), 123–129.


  1. Adedoja, G., Adelore, O., Egbokhare, F., & Oluleye, A. (2013). Learners acceptance of the use of mobile phones to deliver tutorials in a distance learning context: A case study at the university of Ibadan. The African Journal of Information Systems, 5 (3), 80-93.
  2. Azad, M. J., Ali, M. S., & Islam, M. R. (2014). Farmers knowledge on postharvest practices of vegetables. International Journal of Experimental Agriculture, 4 (3), 7-11.
  3. Btchelor, S. (2002). Using ICTs to generate development content. IICD Research Report 10. The Hague: International Institute for Communication and Development. Pp. 1- 22.
  4. Chapman, R., & Slaymaker, T. (2002). ICTs and Rural Development: Review of the Literature, Current Interventions and Opportunities for Action. ODI Working Paper 192, London: Overseas Development Institute.
  5. English, H.B., & English, A.C. (1958). A comprehensive dictionary of psychological and psychoanalytical terms: A guide to usage. Longmans, Green.
  6. Goyal, A. (2011). ICT in agriculture sourcebook: Connecting smallholders to knowledge, networks, and institutions, World Bank, Washington D.C.
  7. Heeks. (2002). Information Systems and Developing Countries: Failure, Success and Local Improvisations. The Information Society, 18 (2), 101-112. DOI:
  8. Kumar, G.D.S., & Padmaiah, M. (2012). Mobile based agro-advisories on castor and sunflower. In: Proceedings of 8th Convention of Grameen Gyan Abhiyan: Rural Knowledge Movement, 28-29 October 2012 by the M S Swaminathan Research Foundation at MSSRF, Chennai, India. Pp. 14-15.
  9. Kumar, G.D.S., Padmaiah, M., & Alivelu, K. (2014). Evaluation of a mobile phone based agro-advisory programme on sunflower (Helianthus annuus L.). Journal of Oilseeds Research. 31(2): 119-154.
  10. Madan, M.R.K. (2017). Impact of mobile phone based advisory services on cotton farmers, Ph. D Thesis submitted to Professor Jayashankar Telangana state Agricultural University, Hyderabad, India.
  11. Nain, M. S., Singh, R., & Mishra, J. R. (2019). Social networking of innovative farmers through WhatsApp messenger for learning exchange: A study of content sharing. Indian Journal of Agricultural Sciences, 89(3), 556-558. DOI:
  12. Niranjan, A., D., Kumar, D., & Jahanara. (2018). Factors influencing level of knowledge of farmers on climate resilient practices in Virudhunagar district of Tamil Nadu. International Journal of Research Culture Society, 2 (5), 169-172.
  13. Oztas, D., Kurt, B., Koc, A., Akbaba, M., & Ilter, H. (2018). Knowledge Level, Attitude, and Behaviors of Farmers in Çukurova Region regarding the Use of Pesticides. BioMed Research International, 2018, 1-7. DOI:
  14. Rahman, H. M., Uddin, M. S., & Khan, M. S. (2016). Factors influencing farmers knowledge on information and communication technology in receiving agricultural information in Bangladesh. Bangladesh Journal of Extension Education, 28 (1&2), 13-19.
  15. Rao, N.H. 2007. A Framework for Implementing Information and Communication Technologies in Agricultural Development in India. Technological Forecasting and Social Change, 74(4), 491-518. DOI:
  16. Sandeep, G. P., Prashanth, P., Sreenivasulu, M., & Madhavilata, A. (2020). Social Media in Agriculture – A Profile Analysis. International Journal of Current Microbiology and Applied Sciences, 9(07), 2727-2736. DOI:
  17. Sandeep, G.P., Prashanth, P., Sreenivasulu, M., & Madavilata, A. (2022). Effectiveness of Agricultural Information Disseminated through Social Media. Indian Journal of Extension Education, 58 (2), 186-190. DOI:
  18. Singh, A.K. (2017). A study effect of social media intervention on knowledge level of agricultural input dealers M.Sc Thesis submitted to Banaras Hindu University, Varanasi, India.
  19. Singha, A. K., & Devi, S. (2013). Analysis of factors influencing farmers knowledge on resource conservation technologies (RCTs) in rice (Oryza sativa L.) cultivation. Journal of Agricultural Sciences, 4(1), 13-19. DOI:
  20. Sinha, A.K. (2018). Information seeking behaviour and role of mass media in socioeconomic of the santals of Birbhum, West Bengal. Journal of Library and Information Sciences, 8 (2), 237-246.