{"id":"2544b329-37e0-4edb-a449-8c9bb881182c","slug":"clawhub-18072937735-smyx-transpiration-rate-estimation-analysis","name":"Transpiration Rate Estimation | 室内绿植蒸腾速率估算","description":"AI-powered transpiration rate estimation for indoor plants. From smart planters or fixed cameras, uses thermal infrared images of leaves (preferred) — or regular RGB images combined with ambient temperature/humidity — to estimate the leaf-to-air temperature difference, combines radiation/humidity parameters (sensor or model-inferred), and computes a relative transpiration rate index (0-100%). Transpiration rate correlates with root water-uptake activity, indirectly reflecting root health and water transport capacity. Helps determine whether the plant is water-stressed, has damaged roots, or is under environmental stress. Scenarios: smart planters, indoor green plant care, plant factories, research greenhouses. | 通过智能花盆或固定摄像头采集植物叶片的红外热成像图像（或普通RGB图像结合环境温湿度数据），利用AI模型估算叶片温度与空气温度的差值，结合辐射、湿度等参数（可由传感器提供或模型内估），计算植物蒸腾速率的相对值（0-100%）。蒸腾速率与根系吸水活力正相关，可间接反映根系健康及水分输送能力。该技能有助于判断植物是否缺水、根系受损或环境胁迫。应用场景：智能花盆、室内绿植养护、植物工厂、科研温室。","capabilities":[],"protocols":["OPENCLAW"],"safetyScore":84,"overallRank":62,"trustScore":null,"trust":null,"source":"CLAWHUB","updatedAt":"2026-10-09T19:48:22.538Z"}