ICT4Agriculture lessons learned from developing countries. A systematic review protocol

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

The developing countries are experiencing a phenomenal growth in Information and Communication technology (ICT) provision. Fueled by this ICT explosion, many projects have been initiated to providing agricultural information and advice to farmer communities. These services include agri advisory and information services, market price alerts, weather alerts and systems for mobile-payments and financial services. However, these benefits appear to vary across crops, distance of village from market, road quality and other factors such as competitiveness introduced by wholesale bigger markets. There are a number of knowledge gaps in our understanding of the role of ICTs for agriculture in developing world. This paper aims to fill this gap by proposing a systematic review protocol on key lessons learned from the ICT usage trends and practices for agricultural production in the developing countries, with special focus on small landholder farmers.

Original languageEnglish (US)
Title of host publicationProceedings of the 8th International Conference on Information and Communication Technologies and Development, ICTD 2016
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450343060
DOIs
StatePublished - Jun 3 2016
Externally publishedYes
Event8th International Conference on Information and Communication Technologies and Development, ICTD 2016 - Ann Arbor, United States
Duration: Jun 3 2016Jun 6 2016

Publication series

NameACM International Conference Proceeding Series
Volume03-06-June-2016

Conference

Conference8th International Conference on Information and Communication Technologies and Development, ICTD 2016
CountryUnited States
CityAnn Arbor
Period6/3/166/6/16

Keywords

  • Agriculture
  • Developing countries
  • Farmer
  • Food security
  • Gender
  • ICT4D
  • Smallholder
  • Technology

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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