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Considering farmers’ situated expertise in using AgriDSS to fostering sustainable farming practices in precision agriculture
Department of Urban and Rural development, Swedish University of Agricultural Sciences.
Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi. (Interaction Lab)ORCID-id: 0000-0003-0946-7531
2016 (engelsk)Inngår i: Proceedings of the 13th International Conference on Precision Agriculture (unpaginated, online). Monticello, IL: International Society of Precision Agriculture, 2016Konferansepaper, Oral presentation with published abstract (Fagfellevurdert)
Abstract [en]

Agriculture is facing immense challenges and ecological intensification has been presented as a way forward where precision agriculture (PA) plays an important role. A more sustainable agriculture needs farmers that embrace situated expertise and who can handle changing farming systems. Many agricultural decision support systems (AgriDSS) have been developed to support farm management, but the traditional approach to AgriDSS development is mostly based on the knowledge transfer perspective. This has resulted in technology being considered as an isolated phenomenon and thus not adapted to farmers’ actual needs or their decision-making in practice. The aim of this study was to improve the understanding of farmers’ use of AgriDSS in relation to their situated expertise and how they cared for their fields. The theoretical framework of distributed cognition (DCog) was used as a lense when investigating and analyzing farmers' use of a software tool called CopSAT developed for calculation of variable rate application (VRA) files for nitrogen (N) fertilization from satellite images. The results revealed that CropSAT could function as a tool which supported decision making and the development of situated expertise, highlighting the care perspective.

sted, utgiver, år, opplag, sider
2016.
Emneord [en]
Sustainable intensification, care, situated expertise, DCog, agricultural decision support systems
HSV kategori
Forskningsprogram
Teknik; Interaction Lab (ILAB)
Identifikatorer
URN: urn:nbn:se:his:diva-12761OAI: oai:DiVA.org:his-12761DiVA, id: diva2:951355
Konferanse
13th International Conference on Precison Agriculture, July 31 – August 3, 2016, St. Louis, Missouri, USA
Prosjekter
This work was financially supported by the thematic research program Biological Soil Mapping (BioSoM) at NJ Faculty, Swedish University of Agricultural Sciences
Merknad

Abstractet är enbart tillgängligt online för närvarande och proceedings kommer att publiceras online längre fram.

Tilgjengelig fra: 2016-08-08 Laget: 2016-08-08 Sist oppdatert: 2018-08-03bibliografisk kontrollert

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