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Advisor(s)
Abstract(s)
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.
Description
Keywords
Cut flowers Delivery date Flower number Flower size Plant height Pot plants
Pedagogical Context
Citation
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
Publisher
Global Science Books