Plant Night Respiration Rate Analysis | 植物夜间呼吸作用强度估算

In a plant factory, a fixed thermal imaging camera continuously captures thermal images of the plant canopy leaves at night (no-light period), analyzes leaf temperature trends (respiration releases heat, causing leaf temperature to be slightly higher than air temperature), and combined with optional ambient CO₂ sensor data (respiration releases CO₂ raising concentration), an AI model estimates the relative respiration intensity (0-100%) of a single plant or population. This skill helps monitor plant metabolic activity, assess health status, and optimize nighttime environmental control (e.g., temperature, ventilation). Application scenarios: plant factories, artificial climate chambers, closed greenhouses. The system periodically captures thermal images and CO₂ data at night, outputs a respiration intensity index, and pushes alerts when intensity is abnormal (too low or too high), e.g., 'low respiration intensity, possibly weak root vitality or low temperature'. Skill features: research / precision agriculture. | 通过植物工厂内的固定热成像摄像头，在夜间（无光照时段）连续采集植物冠层叶片的热图像，分析叶片温度变化趋势（呼吸作用释放热量导致叶片温度略高于气温），结合可选的环境CO₂传感器数据（呼吸作用释放CO₂浓度升高），利用AI模型估算整株或群体的呼吸强度相对值（0-100%）。该技能有助于监测植物代谢活性、评估健康状态及优化夜间环境控制（如温度、通风）。应用场景：植物工厂、人工气候室、密闭温室。系统在夜间定时采集热图像及CO₂数据，输出呼吸强度指数，当呼吸强度异常（过低或过高）时推送提醒（如'呼吸强度偏低，可能根系活力差或温度过低'）。技能特点：科研/精准农业。

by @smyx-sunjinhui·MIT-0