Introduction of a market oriented information system for growth control ofFicus benjamina

Citation
Mwc. Dijkshoorn-dekker et Ba. Eveleens-clark, Introduction of a market oriented information system for growth control ofFicus benjamina, ACTA HORT, (507), 1999, pp. 99-105
Citations number
5
Categorie Soggetti
Current Book Contents
ISSN journal
05677572
Issue
507
Year of publication
1999
Pages
99 - 105
Database
ISI
SICI code
0567-7572(1999):507<99:IOAMOI>2.0.ZU;2-4
Abstract
Control of plant development is a major challenge in commercial potplant pr oduction. The Market oriented Grading and Control system (MaGiC) provides a new tool in the production process to meet the demand of the market to del iver an uniform product with a preferred quality on a specified delivery da te. This system integrates the measurement, grading and control of plant qu ality development. Such a MaGiC-system has been successfully developed and tested at the Research Station in Aalsmeer (The Netherlands) in 1997 using Ficus benjamina 'Exotica' as a pilot crop. Image processing is used as a me asuring technique to register plant development. Image features are used as an adequate input for the neural network and the empiric growth control mo del included in the system. Application of this system reduces labour costs and facilitates the complete automation of internal transport, spacing, gr ading and marketing. A prototype was used last year at commercial companies in The Netherlands. Two batches of half-grown Ficus plants were formed, a control batch to be c ontrolled by the grower and an experimental batch to be controlled by the M aGiC-system. The neural network graded the experimental batch into uniform groups. Each uniform group was subjected to a different spacing schedule an d temperature regime as determined by the growth control model. At the spec ified delivery date the experimental groups, development and quality were m ore uniform than the control batch. However not all experimental groups had reached the marketable stage and therefore they could not be combined into one uniform batch. Although the growth control model can accurately predic t the development and quality for each group to the specified delivery date , this was not achieved due to the inflexibility of the present logistics a nd inadequate facilities on the nurseries.