Requirements for implementation : a quality prediction system for soft fruit based on a Bayesian Belief Network
The GreenCHAINge project is carried out in consortium with various companies, and supported by the Dutch Ministry of Agriculture. It is financed by this ministry through a Topsector subsidy and by the participating companies in the consortium through their cash and in kind contributions. The GreenCHAINge project comprises several sub-projects, each focussing on a different fruit or vegetable product. The work reported in this document resides under the sub-project dedicated to soft fruit, and is carried out – independently - by Wageningen Food & Biobased Research (WFBR) in collaboration with Driscoll’s B.V. The Wageningen Food & Biobased Research institute has developed a Bayesian model for quality prediction of soft fruit, specifically strawberries, based on a variety of input data. The model was developed in the Netica environment and requires the Netica library to be executed. Integration of the model in the existing workflow at Driscoll’s B.V. requires it to be encapsulated by additional software, such as an interface to the user, interfaces to available data sources, and to the model itself. This document describes the requirements and proposed architecture for deploying the model at Driscoll’s B.V., and while requirements and architecture are described in a generic fashion, this report is primarily targeted at stakeholders within Driscoll’s B.V.
| Main Authors: | , , |
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| Format: | External research report biblioteca |
| Language: | English |
| Published: |
Wageningen Food & Biobased Research
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| Subjects: | Life Science, |
| Online Access: | https://research.wur.nl/en/publications/requirements-for-implementation-a-quality-prediction-system-for-s |
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