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Type: (datasets) Kind of Data: Text Type: (datasets) Subject: Farming Systems and Practices Type: (datasets) Subject: Biodiversity and Ecology

1 to 4 of 4 Results

OasYs_AF Jan 13, 2021 - Dispositifs Novak, Sandra, 2021, "OasYs_AF", https://doi.org/10.15454/SRBXQ9, Portail Data INRAE, V1 Ici sont rassemblées les descriptions des dispositifs agroforestiers de l’expérimentation système OasYs, mise en œuvre à l’Unité Expérimentale Fourrages, Ruminants et Environnement d’INRAE à Lusignan (UE FERLUS). Here are gathered the descriptions of agroforestry experimental plo...
Annotation data about Multi Criteria Assessment Methods used in Science for Action and Development: the French National Institute for Agricultural Research (INRA-SAD) experience Mar 8, 2019 - Multi Criteria Assessment Methods Thiollet-Scholtus, Marie; Bockstaller, Christian, 2019, "Annotation data about Multi Criteria Assessment Methods used in Science for Action and Development: the French National Institute for Agricultural Research (INRA-SAD) experience", https://doi.org/10.15454/TW5WAX, Portail Data INRAE, V2, UNF:6:gfLdB4WVXzg8A986MUUPFA== [fileUNF] This data article contains annotation data characterizing Multi Criteria Assessment Methods proposed in the scientific literature by INRA researchers belonging to the Science for Action and Development department. Its interdisciplinary approach combines agricultural, ecological a...
Annotation data about Multi Criteria Assessment Methods used in Environment and Agronomy : the French National Institute for Agricultural Research (INRA-EA) experience Mar 8, 2019 - Multi Criteria Assessment Methods Bockstaller, Christian; van der Werf, Hayo, 2019, "Annotation data about Multi Criteria Assessment Methods used in Environment and Agronomy : the French National Institute for Agricultural Research (INRA-EA) experience", https://doi.org/10.15454/RSFBTX, Portail Data INRAE, V2, UNF:6:gfLdB4WVXzg8A986MUUPFA== [fileUNF] This data article contains annotation data characterizing Multi Criteria Assessment Methods proposed in the scientific literature by INRA researchers belonging to the Environment and Agronomy department.
Annotation data about Multi Criteria Assessment Methods used in the agri-food research : the French National Institute for Agricultural Research (INRA) experience Mar 8, 2019 - Multi Criteria Assessment Methods Gésan-Guiziou, Geneviève; Alaphilippe, Aude; Andro, Mathieu; Aubin, Joël; Bockstaller, Christian; Botreau, Raphaëlle; Buche, Patrice; Collet, Catherine; Darmon, Nicole; Delabuis, Monique; Girard, Agnès; Grateau, Régis; Kansou, Kamal; Martinet, Vincent; Membré, Jeanne-Marie; Sabbadin, Régis; Soler, Louis-Georges; Thiollet-Scholtus, Marie; Tonda, Alberto; Van-Der-Werf, Hayo, 2019, "Annotation data about Multi Criteria Assessment Methods used in the agri-food research : the French National Institute for Agricultural Research (INRA) experience", https://doi.org/10.15454/WB51LL, Portail Data INRAE, V2, UNF:6:gfLdB4WVXzg8A986MUUPFA== [fileUNF] This data article contains annotation data characterizing Multi Criteria Assessment Methods proposed in the scientific literature by INRA researchers.

OasYs_AF

Jan 13, 2021 - Dispositifs

Novak, Sandra, 2021, "OasYs_AF", https://doi.org/10.15454/SRBXQ9, Portail Data INRAE, V1

Ici sont rassemblées les descriptions des dispositifs agroforestiers de l’expérimentation système OasYs, mise en œuvre à l’Unité Expérimentale Fourrages, Ruminants et Environnement d’INRAE à Lusignan (UE FERLUS). Here are gathered the descriptions of agroforestry experimental plo...

Annotation data about Multi Criteria Assessment Methods used in Science for Action and Development: the French National Institute for Agricultural Research (INRA-SAD) experience

Mar 8, 2019 - Multi Criteria Assessment Methods

Thiollet-Scholtus, Marie; Bockstaller, Christian, 2019, "Annotation data about Multi Criteria Assessment Methods used in Science for Action and Development: the French National Institute for Agricultural Research (INRA-SAD) experience", https://doi.org/10.15454/TW5WAX, Portail Data INRAE, V2, UNF:6:gfLdB4WVXzg8A986MUUPFA== [fileUNF]

This data article contains annotation data characterizing Multi Criteria Assessment Methods proposed in the scientific literature by INRA researchers belonging to the Science for Action and Development department. Its interdisciplinary approach combines agricultural, ecological a...

Annotation data about Multi Criteria Assessment Methods used in Environment and Agronomy : the French National Institute for Agricultural Research (INRA-EA) experience

Mar 8, 2019 - Multi Criteria Assessment Methods

Bockstaller, Christian; van der Werf, Hayo, 2019, "Annotation data about Multi Criteria Assessment Methods used in Environment and Agronomy : the French National Institute for Agricultural Research (INRA-EA) experience", https://doi.org/10.15454/RSFBTX, Portail Data INRAE, V2, UNF:6:gfLdB4WVXzg8A986MUUPFA== [fileUNF]

This data article contains annotation data characterizing Multi Criteria Assessment Methods proposed in the scientific literature by INRA researchers belonging to the Environment and Agronomy department.

Annotation data about Multi Criteria Assessment Methods used in the agri-food research : the French National Institute for Agricultural Research (INRA) experience

Mar 8, 2019 - Multi Criteria Assessment Methods

Gésan-Guiziou, Geneviève; Alaphilippe, Aude; Andro, Mathieu; Aubin, Joël; Bockstaller, Christian; Botreau, Raphaëlle; Buche, Patrice; Collet, Catherine; Darmon, Nicole; Delabuis, Monique; Girard, Agnès; Grateau, Régis; Kansou, Kamal; Martinet, Vincent; Membré, Jeanne-Marie; Sabbadin, Régis; Soler, Louis-Georges; Thiollet-Scholtus, Marie; Tonda, Alberto; Van-Der-Werf, Hayo, 2019, "Annotation data about Multi Criteria Assessment Methods used in the agri-food research : the French National Institute for Agricultural Research (INRA) experience", https://doi.org/10.15454/WB51LL, Portail Data INRAE, V2, UNF:6:gfLdB4WVXzg8A986MUUPFA== [fileUNF]

This data article contains annotation data characterizing Multi Criteria Assessment Methods proposed in the scientific literature by INRA researchers.

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