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Smart apiculture management services for developing countries—the case of SAMS project in Ethiopia and Indonesia

Authors :
Kibebew Wakjira
Taye Negera
Aleksejs Zacepins
Armands Kviesis
Vitalijs Komasilovs
Sascha Fiedler
Sascha Kirchner
Oliver Hensel
Dwi Purnomo
Marlis Nawawi
Amanda Paramita
Okie Fauzi Rachman
Aditya Pratama
Nur Al Faizah
Markos Lemma
Stefanie Schaedlich
Angela Zur
Magdalena Sperl
Katrin Proschek
Kristina Gratzer
Robert Brodschneider
Source :
PeerJ Computer Science, Vol 7, p e484 (2021)
Publication Year :
2021
Publisher :
PeerJ Inc., 2021.

Abstract

The European Union funded project SAMS (Smart Apiculture Management Services) enhances international cooperation of ICT (Information and Communication Technologies) and sustainable agriculture between EU and developing countries in pursuit of the EU commitment to the UN Sustainable Development Goal “End hunger, achieve food security and improved nutrition and promote sustainable agriculture”. The project consortium comprises four partners from Europe (two from Germany, Austria, and Latvia) and two partners each from Ethiopia and Indonesia. Beekeeping with small-scale operations provides suitable innovation labs for the demonstration and dissemination of cost-effective and easy-to-use open source ICT applications in developing countries. SAMS allows active monitoring and remote sensing of bee colonies and beekeeping by developing an ICT solution supporting the management of bee health and bee productivity as well as a role model for effective international cooperation. By following the user centered design (UCD) approach, SAMS addresses requirements of end-user communities on beekeeping in developing countries, and includes findings in its technological improvements and adaptation as well as in innovative services and business creation based on advanced ICT and remote sensing technologies. SAMS enhances the production of bee products, creates jobs (particularly youths/women), triggers investments, and establishes knowledge exchange through networks and initiated partnerships.

Details

Language :
English
ISSN :
23765992
Volume :
7
Database :
Directory of Open Access Journals
Journal :
PeerJ Computer Science
Publication Type :
Academic Journal
Accession number :
edsdoj.2022a5cd9af4030aa9714d80b4e5c9c
Document Type :
article
Full Text :
https://doi.org/10.7717/peerj-cs.484