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Intelligent Transformation of the Tea Industry: Artificial intelligence applications in management, harvesting, and processing
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DOI：10.1016/j.tifs.2025.105510.png)
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Abstract
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• This review adopts a whole-chain perspective to examine the applications and engineering integration of artificial intelligence in tea garden management, harvesting, and processing. • This review establishes a closed-loop AI framework connecting the databases, decision-making methodologies, and actuation devices, along with evaluation metrics. • This review identifies limitations in equipment adaptability, real-time processing accuracy, and implementation costs within the current tea industry. • This review envisions a digital tea industry driven by multimodal sensing, embodied intelligence, and domain-specific models, while underscoring enduring challenges in cost and standardization.
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