smyx-greenhouse-climate-plant-feedback-analysis

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Using fixed cameras in a smart greenhouse to analyze plant morphology in real time (e.g., leaf wilting angle, stem uprightness, leaf color changes) combined with environmental sensors (light intensity, temperature, humidity, soil moisture), an AI decision model outputs climate control commands including irrigation (pump/solenoid valve), shade-net opening, fan/wet-curtain on-off, heater on-off, etc. This skill implements closed-loop control driven by plant demand, improving resource efficiency and crop yield. Application scenarios: smart greenhouses, plant factories, multi-span greenhouses. The system continuously monitors plant state and environmental parameters: when plants wilt (water shortage) and soil moisture falls below a threshold it issues an irrigation command; when light is too strong and leaves curl it issues a shading command; when temperature/humidity exceed thresholds and plants show heat stress it issues fan/wet-curtain start commands. Skill features: precision energy saving. | 通过智能温室中的固定摄像头实时分析植物的形态（如叶片萎蔫角度、茎秆挺直度、叶色变化）以及结合环境传感器（光照强度、温度、湿度、土壤水分），利用AI决策模型输出环境调控指令，包括灌溉（水泵/电磁阀）、遮阳网开度、风机/湿帘启停、加热器开关等。该技能实现基于植物需求的闭环控制，提高资源利用效率和作物产量。应用场景：智能温室、植物工厂、连栋大棚。系统持续监测植物状态和环境参数，当检测到植物萎蔫（缺水）且土壤湿度低于阈值时输出灌溉指令；当光照过强导致叶片卷曲时输出遮阳指令；当温湿度超过设定阈值且植物表现出热胁迫时输出风机/湿帘启动指令。技能特点：精准节能。