skip to main content
10.1145/3136560.3136596acmotherconferencesArticle/Chapter ViewAbstractPublication PagesictdConference Proceedingsconference-collections
short-paper

Weather Forecast Information Dissemination Design For Low-Literate Farmers: An Exploratory Study

Authors Info & Claims
Published:16 November 2017Publication History

ABSTRACT

Pakistan's agricultural sector has been making gigantic contributions towards the nation's economy, with agriculture accounting for 22% of the gross domestic product (GDP) while engaging approximately half of the country's labor force. A significant developmental challenge in this sector is inadequacy and inaccessibility of information regarding weather forecast. In this paper, we propose an Android-based solution for farmers that can facilitate the timely, localized, and customized dissemination of granular weather forecast that shields the whole agricultural ecosystem and supply chain from weather variability by appropriate decision-making. We describe our Android mobile application that sends a customized weather forecast that is configured according to the user preferences. Information is disseminated by the cloud server through encrypted SMS to the subscribing farmers containing weather information. This information is encoded through visuals and icons in a simple to understand user-interface that is accompanied by Urdu language text in a design tailored for low-literate farmers of Pakistan. The testing, feedback, and evaluation include design understanding, the effectiveness of icons and images, usability, adaptation to touch screen is in progress which will help us to reiterate the mobile app user interface (UI) to improve the preliminary design.

References

  1. 1998. Agricultural Sector in Pakistan. http://www.pakissan.com/english/agri.overview/fao.agricultural.sector.pakistan1.shtml. (1998).Google ScholarGoogle Scholar
  2. Syed Ali, Harris Durrani, Muhammad Naeem, Waleed Riaz, and Suleman Shahid. 2016. Supporting Pakistani Farmers Through Digital Means: An Exploratory Study. In Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems. ACM, "", 2299--2305. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. David W Cash. 2001. "In order to aid in diffusing useful and practical information": Agricultural extension and boundary organizations. Science, Technology, & Human Values 26, 4 (2001), 431--453.Google ScholarGoogle ScholarCross RefCross Ref
  4. Sebastien Cuendet, Indrani Medhi, Kalika Bali, and Edward Cutrell. 2013. VideoKheti: Making video content accessible to low-literate and novice users. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, 2833--2842. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Rikin Gandhi, Rajesh Veeraraghavan, Kentaro Toyama, and Vanaja Ramprasad. 2007. Digital green: Participatory video for agricultural extension. In Information and Communication Technologies and Development, 2007. ICTD 2007. International Conference on. IEEE, 1--10.Google ScholarGoogle ScholarCross RefCross Ref
  6. Surabhi Mittal, Mamta Mehar, et al. 2012. How mobile phones contribute to growth of small farmers? Evidence from India. Quarterly Journal of International Agriculture 51, 3 (2012), 227.Google ScholarGoogle Scholar
  7. Omar Mubin, Joshua Tubb, Mauricio Novoa, Mustafa Naseem, and Samia Razaq. 2015. Understanding the Needs of Pakistani Farmers and the Prospects of an ICT Intervention. In Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems. ACM, 1109--1114. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Neil Patel, Deepti Chittamuru, Anupam Jain, Paresh Dave, and Tapan S Parikh. 2010. Avaaj otalo: a field study of an interactive voice forum for small farmers in rural india. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, 733--742. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. The Newspaper's Staff Reporter. 2016. Smartphones for farmers. https://www.dawn.com/news/1281296. (2016).Google ScholarGoogle Scholar
  10. Karin Astrid Siegmann. 2009. Gender digital divide in rural Pakistan: how wide is it and how to bridge it? (2009).Google ScholarGoogle Scholar
  11. USAID. 2013. Using ICT to provide weather information for agriculture. http://pdf.usaid.gov/pdf_docs/PA00J7PX.pdf. (2013).Google ScholarGoogle Scholar

Index Terms

  1. Weather Forecast Information Dissemination Design For Low-Literate Farmers: An Exploratory Study

        Recommendations

        Comments

        Login options

        Check if you have access through your login credentials or your institution to get full access on this article.

        Sign in
        • Published in

          cover image ACM Other conferences
          ICTD '17: Proceedings of the Ninth International Conference on Information and Communication Technologies and Development
          November 2017
          333 pages
          ISBN:9781450352772
          DOI:10.1145/3136560
          • Conference Chair:
          • Umar Saif

          Copyright © 2017 ACM

          Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

          Publisher

          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 16 November 2017

          Permissions

          Request permissions about this article.

          Request Permissions

          Check for updates

          Qualifiers

          • short-paper
          • Research
          • Refereed limited

          Acceptance Rates

          Overall Acceptance Rate22of116submissions,19%

        PDF Format

        View or Download as a PDF file.

        PDF

        eReader

        View online with eReader.

        eReader