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Publicação
Vineyard yield estimation using image analysis – a review
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| 2.04 MB | Adobe PDF |
Autores
Orientador(es)
Resumo(s)
Yield estimation is one of the main goals of the wine industry, this because with an accurate yield estimation it is possible to have a significant reduction in production costs and a better management of the wine industry. Traditional methods for yield estimation are laborious and time consuming, for these reasons in the last years we are witnessing to the development of new methodologies, most of which are based on image analysis. Thanks to the continuous updating and improvement of the computer vision techniques and of the robotic platforms, image analysis applied to the yield estimation is becoming more and more efficient. In fact the results shown by the different studies are very satisfying, at least as regards the estimation of what is possible to see, while are under development several procedures which have the objective to estimate what is not possible to see, due to bunch occlusion by leaves and by others clusters.
I this work the different methodologies and the different approaches used for yield estimation are described, including both traditional methods and new approaches based on image analysis, in order to present the advantages and disadvantages of each of them
Descrição
Mestrado em Engenharia de Viticultura e Enologia (Double degree) / Instituto Superior de Agronomia. Universidade de Lisboa / Faculdade de Ciências. Universidade do Porto
Palavras-chave
yield estimation image analysis bunch occlusion robot platforms precision viticulture
Contexto Educativo
Citação
Pascale, S. - Vineyard yield estimation using image analysis – a review. Lisboa: ISA, 2021, 42 p.