Year: 2025
Type: article
Abstract: The LeafQuest app is built to merge augmented reality (AR) and artificial intelligence (AI) in order to help users choose and visualize plants that is appropriate for their space available and given environmental conditions. Through the use of an artificial intelligence as a recommendation system, this will improve decision-making and user confidence building. LeafQuest is built to encourage plant fans, hobbyists, and incidental plant enthusiasts with easy-to-access, accurate plant data, and interesting plant facts. The LeafQuest walks users through the whole process from plant discovery and choice to plant care upkeep through and interactive and engaging user interface. LeafQuest is being developed per Agile method, which focuses on iterative design, and user feedback to make the application responsive to user’s need and technology needs. The application delves into how augmented reality can become a practical means for visualization, how artificial intelligence can provide exact plant recommendations, and how mobile application can turn traditional plant care into dynamic, learning experience. The applications are meant to close the gap between knowledge of plant care and users’ accessibility. The study gathered 80 survey responses from plant hobbyists, enthusiasts, and lovers in Metro Manila. It aimed to evaluate the quality of LeafQuest in terms of performance, ease of use, reliability, and overall system quality as a mobile-based augmented reality tool for plant placement, discovery, and development. Findings revealed that all criteria fell within the “Excellent” range (3.50–4.49), with weighted means between 4.12 and 4.24, indicating strong acceptance and positive reception from the respondents.
Authors: Iya Claire N. Papasin, Marinele T. Mirador, John Ellijah M. Ocampo, Juno Seth P. Pajarillo, Ronald B. Fernandez
Institutions: University of Manila, Universidad de Manila
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4415077557
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