• P-ISSN 0974-6846 E-ISSN 0974-5645

Indian Journal of Science and Technology


Indian Journal of Science and Technology

Year: 2021, Volume: 14, Issue: 39, Pages: 2953-2960

Original Article

Potential of Mobile-Based Apps Online Platforms in Fast-Tracking Access of Agriculture Information

Received Date:29 April 2021, Accepted Date:03 November 2021, Published Date:18 November 2021


Objectives: This paper report the potential of online mobile phone-based platforms in fast-tracking access of agricultural information to farmers, with a case study of Arusha, Tanzania. Method: We used the questionnaire-based and focus group discussion methods and a total of 156 respondents were randomly selected for data collection. Findings: The results showed that 77.6% of respondents possess smartphones and 32.7% of them use internetbased platforms to search for agriculture information which usually is not applicable or specific in their local Arusha context. Such finding raised a need for developing internet-based platform for accessing agricultural information by farmers for use in their local context. Thus, the same respondents were assessed for their readiness to use a mobile-based agricultural app if developed. The results indicated that 80% of the respondents were willing and would use the app. Novelty: The paper demonstrated how mobile phonebased apps can be used to quicken accessibility of agricultural information in a local-based, context-specific location.

Keywords: Mobile Apps; Agriculture Information; Online Platform; Smartphones; Information Access


  1. Chongela J. Contribution of Agriculture Sector to the Tanzanian Economy. American Journal of Research Communication [Internet]. 2015;3(7):58.
  2. Stefano LA, Hendriks SL, Stilwell C, Morris C. Printed information needs of small-scale organic farmers in KwaZulu-Natal. Libri. 2015;55(1):56–66. Available from: https://www.degruyter.com/document/doi/10.1515/LIBR.2005.56/html
  3. Chhachhar AR, Chen C, Jin J. Mobile Phone Impact on Agriculture and Price Information among Farmers. Indian Journal of Science and Technology. 2016;9(39). Available from: https://dx.doi.org/10.17485/ijst/2016/v9i39/98432
  4. Harris DR, Fuller DQ, Shekara C, Balasubramani N, Sharma R, Shukla C, et al. Farmer ’ s Handbook on Basic Agriculture A Holistic Perspective of Scientific Agriculture. Desai Fruits & Vegetables Pvt Ltd Navsari. (pp. 1-154) Gujarat India. 2016.
  5. Mtega WP. The Usage of Radio and Television as Agricultural Knowledge Sources: The Case of Farmers in Morogoro Region of Tanzania. International Journal of Education and Development using Information and Communication Technology. 2018;14(3):252–266. Available from: http://files.eric.ed.gov/fulltext/EJ1201501.pdf
  6. Sanga C, Mussa M, Tumbo S, Mlozi MR, Muhichel L, Haug R. On the Development of the Mobile based Agricultural Extension System in Tanzania : A Technological Perspective. International Journal of Computing and ICT Research. 2014;8(1):49–67.
  7. Chhachhar AR, Memon B, , . Challenges in Usage of Mobile Phone Regarding Agricultural and Marketing Information among Farmers in Sindh, Pakistan. Indian Journal of Science and Technology. 2019;12(6):1–9. Available from: https://dx.doi.org/10.17485/ijst/2019/v12i6/141300
  8. Schulz P, Prior J, Kahn L, Hinch G. Exploring the role of smartphone apps for livestock farmers: data management, extension and informed decision making. The Journal of Agricultural Education and Extension. 2021;p. 1–22. Available from: https://dx.doi.org/10.1080/1389224x.2021.1910524
  9. Nirojan. Smart Cultivation Partner Mobile Application ( Android ) Service to Increase Cultivation and Sales. International Journal of Scientific and Research Publications. 2017;7(12):111–117. Available from: http://www.ijsrp.org/research-paper-1217.php?rp=P727009
  10. Blank CA. SAGE handbook of mixed methods in social & behavioral research. Journal of Music Therapy. 2013;50(4):321–325.
  11. Cohen L, Manion L, Morrison K, Publishers R. Book Reviews Research Methods in Education . 2000.
  12. Gauhati UM. Chapter 2 Determination of appropriate Sample Size. International Journal of Applied Mathematics and Statistical Sciences. 2013.
  13. Zorrilla S. Data Analytics with Tableau: The Trend Lines Models. SSRN Electronic Journal. 2018.
  14. Ngirwa CC, Ally M. An ICT Based Solution for Pesticides Authenticity Verification: A Case of Tanzania. Journal of Information Systems Engineering & Management. 2018;3(4). Available from: https://dx.doi.org/10.20897/jisem/3938
  15. Tcra. Report on Internet and Data Services in Tanzania A Supply-Side Survey. 2010;p. 1–36.
  16. Kashiwazaki D, Ubpial E. Emangiopericytoma With Marked E Xtramedullary Growth : Case Report. C Ase R Eport. 2019;61(6).
  17. Barh A, Balakrishnan M. Smart phone applications: Role in agri- information dissemination. Agricultural Reviews. 2018;38(01). Available from: https://dx.doi.org/10.18805/ag.r-1730
  18. Pour MK, Fotouhi R, Hucl P, Zhang Q. Development of a Mobile Platform for Field-Based High-Throughput Wheat Phenotyping. Remote Sensing. 2021;13(8):1560. Available from: https://dx.doi.org/10.3390/rs13081560
  19. Sharma S, Patodkar V, Simant S, Shah C, E-Agro. 2015. Available from: http://pnrsolution.org/Datacenter/Vol3/Issue3/61.pdf
  20. Ravichandran G, Koteeshwari RS. Agricultural crop predictor and advisor using ANN for smartphones. 2016 International Conference on Emerging Trends in Engineering, Technology and Science (ICETETS). 2016. Available from: https://ieeexplore.ieee.org/document/7603053
  21. Kipkurgat T, Onyiego M, Chemwaina S. Impact of Social Media on Agricultural Extension in Kenya: a Case of Kesses District. International Journal of Agricultural Extension and Rural Development Studies. 2016;3(1):30–36.
  22. Jain L, Kumar H, Singla RK. Assessing Mobile Technology Usage for Knowledge Dissemination among Farmers in Punjab. Information Technology for Development. 2015;21(4):668–676. Available from: https://dx.doi.org/10.1080/02681102.2013.874325
  23. Mitchell S, Weersink A, Erickson B. Adoption of precision agriculture technologies in Ontario crop production. Canadian Journal of Plant Science. 2018;98(6):1384–1388. Available from: https://dx.doi.org/10.1139/cjps-2017-0342
  24. Vassalos M, Lim KH. Farmers’ willingness to pay for various features of electronic food marketing platforms. International Food and. Agribusiness Management Review. 2016;19(2):131–180.


© 2021 Edward et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Published By Indian Society for Education and Environment (iSee)


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