2005
DOI: 10.1051/nss:2005004
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Quelles synergies entre connaissances scientifiques et empiriques ? L'exemple des cultures du safran et de la truffe

Abstract: Pour poursuivre les réflexions sur la prise en compte des connaissances et des savoir-faire des praticiens dans le raisonnement scientifique, ici celui des agronomes, cet article ébauche les bases d'une approche transdisciplinaire. Elle ne vise pas seulement à intégrer des connaissances empiriques dans la démarche scientifique, mais à caractériser une diversité d'approches croisées. Le cas des deux cultures présentées ici, la truffe et le safran, en fournit un support particulièrement pertinent, car, exploitée… Show more

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Cited by 22 publications
(10 citation statements)
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“…Others focus on ways to create synergy between FK and scientific knowledge (Briggs et al, 1998;Girard and Navarrete, 2005). We also find some articles on modeling that attempt to integrate FK into an artifact with a scientific knowledge basis like, for example, "integrating farmer knowledge, precision agriculture tools and crop simulation modelling to evaluate management options for poor-performing patches" (Oliver et al, 2010).…”
Section: Strategy 3: To Use Fk As a Resource For Innovationmentioning
confidence: 99%
“…Others focus on ways to create synergy between FK and scientific knowledge (Briggs et al, 1998;Girard and Navarrete, 2005). We also find some articles on modeling that attempt to integrate FK into an artifact with a scientific knowledge basis like, for example, "integrating farmer knowledge, precision agriculture tools and crop simulation modelling to evaluate management options for poor-performing patches" (Oliver et al, 2010).…”
Section: Strategy 3: To Use Fk As a Resource For Innovationmentioning
confidence: 99%
“…All these reasons should induce revision of the most common agronomic knowledge for an effective revaluation of the crop. Synergy between the empirical knowledge of producers and scientific knowledge is able to generate new agronomic knowledge, especially in poorly-known crops, such as saffron, in which technical management represents a major hindrance to development (Girard and Navarrete, 2005).…”
Section: Conclusion and Prospects Of Saffronmentioning
confidence: 99%
“…1 Individual parametrization of the Bayesian Network. Cards with imagery for each node and state of the network facilitates the conditional probability elicitation by participants of knowledge that are important to take into account in agricultural innovation (Girard and Navarrete 2005). Besides, both producers represent the two ends of a spectrum regarding orchardists' protection strategy at the farm level.…”
Section: Case Study Background and Participantsmentioning
confidence: 99%