Grishma Jayesh Doshi
ABSTRACT
The purpose of this study was to develop an expert system that recommends types of plants that help remove toxic substances to improve air quality in a given surrounding.
Currently, it is usually horticultural experts who suggest the right plants as per the environment, where feasible. There is also a significant gap in research related to any such smart systems as revealed in the literature review.
This led to the creation of the Plant Recommender Expert System (PRES) - an intelligent system that accesses expert knowledge by utilizing a set of inputs (e.g. expected humidity, average temperature, etc.) to recommend the type(s) of plants that should be purchased to suit the conditions of any given environment.
Restricted to office environments within the United Arab Emirates (UAE), PRES was successfully evaluated using several case studies with known outcomes.
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Index Terms
- A Rule Based Expert System to Advise on Air-Filtering Plants for Indoor Spaces in UAE
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