This paper proposes an AI-based system for monitoring crop growth, utilizing Teachable Machine for analyzing stages of radish growth and optimizing greenhouse conditions. The system captures images, analyzes them against learned data, and adjusts the environment in real-time for energy efficiency and enhanced crop development. The results can be monitored by users through an application, providing insights for effective harvesting and prediction of growth patterns, aiming to improve yields, quality, and reduce energy consumption.
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Park et al. (2024) studied this question.
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