A Recommendation Engine for Subsistence Farmers

Daniel P. Stormont, Samantha L. Snabes

2013

Abstract

Many of the world’s agricultural workers, especially in the equatorial regions, are subsistence farmers. This paper describes the design of a Recommendation Engine that is the core of a crowd-sourced tool to assist subsistence farmers in better utilizing their land. This tool is being developed by a worldwide team of developers through hackathons and volunteer work. The paper provides an introduction to the project, an overview of the system design, current and future designs planned for the Recommendation Engine, and the next steps for the project.

References

  1. Dictionary (2012). subsistence farming. MerriamWebster.com, http://www.merriam-webster.com.
  2. FAO (2012). pH - TOPSOIL. Food and Agriculture Organization of the United Nations, http://www.fao.org/ geonetwork.
  3. Google (2012). The Google Geocoding API. Google, https://developers.google.com.
  4. Hoell, J. M., Stackhouse, P. W., Westberg, D. J., Chandler, W. S., Whitlock, C. H., and Zhang, T. (2007). Climatological to near real time global meteorological data for agriculture, range, and forestry applications. In Fall American Geophysical Union Meeting, San Francisco, CA.
  5. ISAC (2012). The Pineapple Project. International Space Apps Challenge, http://2012.spaceappschallenge.org.
  6. JSON (2012). Introducing JSON. JSON.org, http://json.org.
  7. OpenMarketsFoundation (2011). Evaluating the impact of an SMS-based Market Information System on smallholder farmers in the Volta Region. GNAFF.
  8. RHoK (2012). The Pineapple Project. Random Hacks of Kindness, http://www.rhok.org.
  9. Strauch, C. (2012). Nosql databases. Technical report, Hochschule der Medien, Stuttgart.
  10. USAID (2012). The PineApple Project. United States Agency for International Development, http://idea.usaid.gov.
  11. WorldBank (2007). World Development Report 2008: Agriculture for Development. The World Bank, Washington, DC.
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Paper Citation


in Harvard Style

P. Stormont D. and L. Snabes S. (2013). A Recommendation Engine for Subsistence Farmers . In Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-8565-39-6, pages 578-581. DOI: 10.5220/0004331805780581


in Bibtex Style

@conference{icaart13,
author={Daniel P. Stormont and Samantha L. Snabes},
title={A Recommendation Engine for Subsistence Farmers},
booktitle={Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2013},
pages={578-581},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004331805780581},
isbn={978-989-8565-39-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - A Recommendation Engine for Subsistence Farmers
SN - 978-989-8565-39-6
AU - P. Stormont D.
AU - L. Snabes S.
PY - 2013
SP - 578
EP - 581
DO - 10.5220/0004331805780581