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This system automatically manages plants in a greenhouse. It gathers data from sensors, then uses a machine-learning model to predict a plant's current health and how it will grow in the future. If the plant isn't healthy or isn't meeting its growth goals, the system figures out what treatments are needed, such as applying fertilizer or adjusting water, and then controls robots to carry out those treatments.
Why it matters: Since 2022, the sophistication of AI models for predictive plant health has advanced, making training more robust. Furthermore, the integration of AI with robotic platforms for precise, autonomous treatment application has become more streamlined and accessible.
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