International Journal of Scientific Research and Engineering Development

Agriculture remains a primary source of livelihood and a critical pillar of national development, particularly in countries like India. Despite technological advancements, many farmers continue to rely on traditional, experience-based practices, which often result in suboptimal crop selection and unpredictable yields. To address these challenges, this paper proposes an intelligent precision farming framework that integrates Augmented Reality (AR), Artificial Intelligence (AI) and the Internet of Things (IoT) for enhanced crop planning and yield prediction. The proposed system enables farmers to capture real-time images of their farmland and analyze key parameters such as soil quality and environmental conditions using AI-driven models and IoT sensor data. By superimposing interactive 3D crop visualizations onto the actual field through AR, the system allows users to virtually assess crop growth patterns and compare multiple crop options before cultivation. Additionally, real-time weather insights and predictive analytics support informed decision-making and resource optimization. The integration of immersive visualization with data-driven intelligence helps reduce uncertainty, improve productivity and promote sustainable agricultural practices. This paper presents the system architecture, implementation strategy using Android and Python platforms, and its potential impact on modernizing traditional farming approaches.

Dr.Tintu George, Dr.Ginne M James, Dr.Senthilkumar A,"Enhancing Smart Agriculture Using Augmented Reality for Crop Planning and Yield Prediction" International Journal of Scientific Research and Engineering Development, V9(2): Page(1956-1962) Mar-Apr 2026. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.