Vorlícková L.P. (2020). System approach to agricultural knowledge and innovation systems. In : Tomsik K. (ed.). Agrarian perspectives XXIX. Trends and challenges of agrarian sector.
Prague (République Tchèque) : CZU.
p. 287-294.
29. International Scientific Conference, 2020/09/16-17, Prague (République Tchèque).
https://ap.pef.czu.cz/dl/88730?lang=en
https://ap.pef.czu.cz/dl/88730?lang=en
Titre : | System approach to agricultural knowledge and innovation systems |
in : | |
Auteurs : | L.P. Vorlícková |
Type de document : | Communication à un Congrès (avec Actes) |
Editeur : | Prague [République Tchèque] : CZU, 2020 |
Format : | p. 287-294 |
Langues : | Anglais |
Langues du résumé : | Anglais |
Catégories : |
Catégories principales 06 - AGRICULTURE. FORÊTS. PÊCHES ; 6.1 - Généralités. Situation AgricoleThésaurus IAMM AKIS ; INNOVATION ; DIFFUSION DE L'INNOVATION ; CONNAISSANCE ; SYSTEME BASE SUR LA CONNAISSANCE ; AGRICULTURE ; VULGARISATION ; TRANSFERT DE CONNAISSANCES ; AGRICULTURE NUMERIQUE ; INTELLIGENCE ARTIFICIELLE |
Résumé : |
The Common Agricultural Policy EU reinforces the importance of transferring knowledge by requiring member states to modernise the sector with promoting knowledge transfer, innovation, and digitisation of agricultural and rural areas. The content analysis of selected publications reveals the research gap in the system approach of Agricultural Knowledge and Innovation Systems. Further research should focus on the precise identification of individual elements of AKIS, their mapping, and parameterising relevant to the behaviour of the system.
Detailed analysis of the private sector and farmer buying behaviour in education and advisory service use is needed for the optimization of the system. A more open concept of the system would better reflect the current plurality of services and involve external entities and structural conditions. Another research gap is in the AKIS performance measurement and validation of knowledge transformation. For participatory models, mutual learning from other entities and tacit knowledge dissemination as well as the influence of new technologies and networking could be research topics. Future research must focus on the adaptation of AKIS to new conditions given by agriculture 4.0, artificial intelligence and machine learning. |
Congrès : | 29. International Scientific Conference, 2020/09/16-17, Prague (République Tchèque) |
Cote : | En ligne |
URL / DOI : | https://ap.pef.czu.cz/dl/88730?lang=en |