Annotation data about multi criteria assessment methods used in the agri-food research: The french national institute for agricultural research (INRA) experience

oleh: Geneviève Gésan-Guiziou, Aude Alaphilippe, Mathieu Andro, Joël Aubin, Christian Bockstaller, Raphaëlle Botreau, Patrice Buche, Catherine Collet, Nicole Darmon, Monique Delabuis, Agnès Girard, Régis Grateau, Kamal Kansou, Vincent Martinet, Jeanne-Marie Membré, Régis Sabbadin, Louis-Georges Soler, Marie Thiollet-Scholtus, Alberto Tonda, Hayo Van-Der-Werf

Format: Article
Diterbitkan: Elsevier 2019-08-01

Deskripsi

This data article contains annotation data characterizing Multi Criteria Assessment (MCA) Methods proposed in the agri-food sector by researchers from INRA, Europe's largest agricultural research institute (INRA, http://institut.inra.fr/en). MCA can be used to assess and compare agricultural and food systems, and support multi-actor decision making and design of innovative systems for crop production, animal production and processing of agricultural products. These data are stored in a public repository managed by INRA (https://data.inra.fr/; https://doi.org/10.15454/WB51LL). Keywords: Literature search query, INRA divisions, Trade-offs, Multicriteria decision, Multicriteria assessment