Paper Contents
Abstract
Smallholder farmers face mounting challenges from crop diseases, soil degradation, and increasingly unpredictable weather. Although mobile advisory tools exist, most silo diagnosis, trading, and community networking into separate applications, limiting actionable, real-time decision-making and market access. AgriAR is a mobile platform that integrates Artificial Intelligence (AI) for plant disease diagnosis and Augmented Reality (AR) for in-field guidance with an in-app marketplace and farmer network. This paper presents the problem context, design rationale, system architecture, and commercialization plan for AgriAR. The application consists of five core modulesMy Crops & Activities, Disease Diagnosis, Marketplace, Farmer Network, and AR Guidancewith multilingual support for rural inclusivity. We position AgriAR against current agricultural apps and situate its novelty within contemporary AIAR literature. Preliminary feasibility and due-diligence analyses indicate that, unlike popular apps, AgriAR uniquely unifies diagnosis, trading, and community engagement on one platform while aligning with SDG 2, 12, and 13. A subscription model (RM15month or RM150year) and a conservative adoption scenario (10,000 users; 20% Pro conversion) project first-year profitability, supporting sustainable service delivery and R&D. We conclude with limitations and a roadmap for rigorous field trials, model benchmarking, and human-centred AR usability evaluations.
Copyright
Copyright © 2025 Chong Yen Zhen. This is an open access article distributed under the Creative Commons Attribution License.
