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| Boisvert, Valerie. |
| Building on ongoing research, this paper aims at suggesting alternative ways to conventional IPR systems to promote local varieties and related knowledge in developing countries. Many attempts to protect genetic diversity and local knowledge through IPR are in jeopardy because of misunderstanding on the terms of the debate and misrepresentation of the claims and interests of the various stakeholders. The paper then suggests that to improve rural livelihood conditions and promote genetic diversity conservation, it would be more efficient and satisfactory for the parties involved to build on local perceptions of foodstuff production and associated knowledge. It is easier and more feasible to stress the importance of a given know-how in the processing of... |
| Tipo: Working or Discussion Paper |
Palavras-chave: Genetic resources; Conservation; IPR; Appellation of origin; Farmers’ rights; Resource /Energy Economics and Policy. |
| Ano: 2006 |
URL: http://purl.umn.edu/50071 |
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| Sarmento,Eliana Casco; Giasson,Elvio; Weber,Eliseu; Flores,Carlos Alberto; Hasenack,Heinrich. |
| The objective of this work was to evaluate sampling density on the prediction accuracy of soil orders, with high spatial resolution, in a viticultural zone of Serra Gaúcha, Southern Brazil. A digital elevation model (DEM), a cartographic base, a conventional soil map, and the Idrisi software were used. Seven predictor variables were calculated and read along with soil classes in randomly distributed points, with sampling densities of 0.5, 1, 1.5, 2, and 4 points per hectare. Data were used to train a decision tree (Gini) and three artificial neural networks: adaptive resonance theory, fuzzy ARTMap; self‑organizing map, SOM; and multi‑layer perceptron, MLP. Estimated maps were compared with the conventional soil map to calculate omission and commission... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Appellation of origin; Decision tree; Digital elevation model; Geographic information systems; Neural network; Soil mapping. |
| Ano: 2012 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2012000900025 |
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