Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.14/6931
Título: Modelling visual product quality in protected floriculture: state of the art
Autor: Carvalho, Susana M. P.
Heuvelink, Ep
Palavras-chave: Cut flowers
Delivery date
Flower number
Flower size
Plant height
Pot plants
Data: 2008
Editora: Global Science Books
Citação: CARVALHO, Susana M. P.; HEUVELINK, Ep - Modelling visual product quality in protected floriculture: state of the art. In Floriculture, Ornamental and Plant Biotechnology: Advances and Topical Issues. ISBN 9784903313092. 1st Edition. Reino Unido: Global Science Books, 2008. Vol. 5. p. 555-562
Resumo: In North European countries floricultural production in greenhouses is highly controlled and intensive. However, instruments for adequate planning and quality control are still insufficient and need to be improved to face market demands. To make full use of the available technologies for providing the desired environment for a target product quality and delivery date, crop models are essential. Although modelling product quality is of special importance in floricultural production, including quality attributes in crop modelling, has not been given deserved importance. This chapter provides an overview of the models that have been developed for predicting visual quality attributes (e.g. stem length, number of flowers per plant, flower size) and time to flowering of cut flowers and pot plants. The importance of controlling and predicting visual quality is emphasized. Different types of crop growth models and their limitations are presented and several examples of existing visual quality models for ornamental plants are given. Stem length and time to flowering are the attributes that have received most attention from modellers. We conclude that in the last decade more effort has been put in modelling visual product quality. Recent developments and future trends include functionalstructural plant models (FSPM; combining process-based models with architectural models) and incorporation of genetic information in crop models. Industry is showing interest in the application of quality models but the large diversity in product attributes and the need for speciesspecific parameterisation have been a major constrain for their practical implementation.
Peer review: yes
URI: http://hdl.handle.net/10400.14/6931
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