Appraisal and Upgrading the Prototype Landscape and Artificial Intelligence Design: Faculty of Agriculture, University of Ibadan Signage Area

Abstract

The study examined the effectiveness of the use of artificial intelligence tools in the creation of scale and proportion using ornamental plants in the prototype design of the Faculty of Agriculture signage based on air pollution tolerance index (APTI). Transect line of 2 m x 2 m quadrants were positioned for frequency value of the plant species determination. Biochemical parameters such as ascorbic acid, total chlorophyll, relative water content and pH were determined for the calculation of APTI. Design process was based on ecological landscape design concept with the use of computer software ArchiCAD-2018, Revit - 2018 and artificial intelligence tools Planner 5D. Data were subjected to statistical analysis. Bougainvillea x buttiana had the highest APTI of 20.04, Ixora coccinea 19.72, Tradescantia spathacea 13.34, Duranta repens 12.71, and Cynodon dactylon having the lowest of 11.60. The study concluded that, APTI assessment serves as a major tool for identifying ornamental plants capable of thriving well in various environmental conditions while artificial intelligence algorithm aids in the generation of prototype faculty signage using ornamental plants to create the effects scale and proportion in the landscape design.