<ul><li>Indoor gardening is growing in popularity for urban food security and sustainability.</li><li>Advancements in IoT technologies and sustainable innovations are driving the growth of urban farming.</li><li>A novel framework integrating computer vision, machine learning, and environmental sensing is proposed for automated monitoring of plant health and growth.</li><li>The framework combines RGB imagery, plant phenotyping data, and environmental factors to predict plant water stress in a controlled growth environment.</li></ul>

Multimodal Data Integration for Sustainable Indoor Gardening: Tracking Anyplant with Time Series Foundation Model

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