| Titre : | A decision support system for economically sustainable sheep and goat farming (2020) |
| Auteurs : | S. Vouraki ; I. Skourtis ; K. Psichos ; W. Jones ; C. Davis ; M. Johnson ; L.R. Rupérez ; A. Theodoridis ; G. Arsenos |
| Type de document : | Article |
| Dans : | Animals (vol. 10, n. 12, December 2020) |
| Article en page(s) : | p. 1-18 |
| Langues : | Anglais |
| Langues du résumé : | Anglais |
| Catégories : |
Catégories principales 06 - AGRICULTURE. FORÊTS. PÊCHES ; 6.4 - Production Agricole. Système de ProductionThésaurus IAMM AIDE A LA DECISION ; OVIN ; CAPRIN ; ELEVAGE ; METHODE D'ELEVAGE ; SYSTEME DE PRODUCTION ; INNOVATION ; INTERNET ; AGRICULTURE NUMERIQUE ; ANIMAL LAITIER ; GESTION DE L'EXPLOITATION AGRICOLE ; ESPAGNE ; ROYAUME UNI ; FRANCE ; GRECE |
| Résumé : | The viability of the European sheep and goat sector is threatened by market, policy, social and technical challenges. To address such challenges, innovations for efficient farm management, especially with decision support capabilities, are considered a strategic priority. The iSAGEDSS is a web application, based on the Happy GoatS solution, which allows dairy and meat small ruminant farmers to make annual management plans by testing future what-if scenarios. It is designed for the meat sheep production system in the United Kingdom and Spain, the dairy sheep production system in France and Greece and the dairy goat production system in Greece. Moreover, it addresses all important farm parameters (flock size, production, processing, grazing, feeding, income and costs and farm prices) and utilizing an energy and protein-based algorithm for nutritional management assessment it produces reports, which are focused on profitability and productivity. Environmental-related figures are also estimated. Results are illustrated with simple and easily understood charts and plots. Case study application results showed high prediction accuracy and demonstrated the ability of the system to promote efficient farm management. In this regard, iSAGEDSS is expected to help farmers to adjust to the challenges faced by the sector and remain sustainable. |
| Cote : | En ligne |
| URL / DOI : | https://doi.org/10.3390/ani10122421 |
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