Blended learning education on precision farming in developing countries: The example of Cape Verde and Mozambique

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Abstract

The continuous development of techniques related to agriculture information management and GIS, with a close connection to sustainable development, are factors which contribute to the dissemination of precision farming. Cape Verde and Mozambique have a strong dependence on agriculture, a lack of skilled professionals and extreme poverty rates in rural areas. There has been an increased acknowledgement of the need to develop new educational programs in developing countries focused on innovative crop and land management concepts. To overcome this issue, the NOVA Information Management School created a consortium with the Catholic University of Mozambique, the University of Cape Verde. The consortium developed the AgIM (Agriculture Information Management and Precision Farming) master course. Working in a blended learning format, the students learn to work with GIS, remote sensing, variable rate technologies, GPS and applications for the analysis of geo-referenced data. Currently both countries have skilled technicians with a strong interaction with local communities and farmers aiming at multiplying the benefits of precision farming, allowing to contribute to the decrease of poverty due to an improvement of the fields’ management and production.

Original languageEnglish
Title of host publicationInternational Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM
Pages9-16
Number of pages8
Volume17
DOIs
Publication statusPublished - 2017
Event17th International Multidisciplinary Scientific GeoConference - Albena Resort, Varna, Bulgaria
Duration: 27 Jun 20176 Jul 2017
https://www.sgem.org/

Conference

Conference17th International Multidisciplinary Scientific GeoConference
Abbreviated titleSGEM 2017
Country/TerritoryBulgaria
CityVarna
Period27/06/176/07/17
Internet address

Keywords

  • Blended learning
  • Distance learning
  • Geographic information systems
  • Post-graduated education
  • Precision farming

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