Skip to main navigation Skip to search Skip to main content

Happy Goats - A Decision Support Web App for Sustainable Small Ruminant Farming

  • Sotiria Vouraki
  • , Yannis Skourtis
  • , Dinos Psichos
  • , Gus Rose
  • , Georgios Arsenos

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

1 Citation (Scopus)

Abstract

The European sheep and goat sector is characterized by low incomes and increased production costs. There is no established farm management methodology; farmers rely on public subsidies to remain financially sustainable. Moreover, there is an extremely low level of innovation and adaptation of technology. This paper proposes Happy Goats, a model-driven decision support software which helps farmers make annual management planning decisions by running different what-if scenarios for the future. Happy Goats takes into account all important farm aspects (flock size, production, feeding, grazing, prices and cost factors) and produces profit-centric reports with simple and easy-to-understand charts and projections. Farmers are able to visualize the impact of their choices and plan for an optimized production. The app also provides a standalone daily feed calculator for optimal, customized daily feeding.

Original languageEnglish
Title of host publicationProceedings of the 8th International Conference on Information and Communication Technologies in Agriculture, Food and Environment (HAICTA 2017)
EditorsMichail Salampasis, Alexandros Theodoridis andThomas Bournaris
Place of PublicationGermany
Pages642-651
Volume2030
Publication statusPublished - 17 Dec 2017

Fingerprint

Dive into the research topics of 'Happy Goats - A Decision Support Web App for Sustainable Small Ruminant Farming'. Together they form a unique fingerprint.

Cite this