{"id":"63e35da0-c8f1-4bd9-bb88-74bf8257bf6c","slug":"clawhub-18072937735-smyx-leaf-aging-fall-prediction-analysis","name":"Leaf Aging Fall Prediction | 植物叶片老化/脱落预测","description":"Using a fixed indoor camera to continuously capture leaf images of houseplants from the same angle every day, AI vision techniques detect leaf color changes (green → yellow → brown), loss of glossiness (reduced surface reflectance), and formation of the abscission zone at the petiole base (angle change). | 通过室内绿植固定摄像头连续采集叶片图像（每天同一角度），利用AI视觉分析技术检测叶片颜色变化（从绿到黄再到褐）、光泽度下降（叶面反光减弱）、叶柄基部离层形成（角度变化）等老化进程，并基于历史图像序列的时间序列模型预测未来3-7天内叶片脱落的风险时段。系统每日生成老化报告，当预测即将落叶时推送提醒（如'富贵竹下位叶预计3天后脱落，可提前剪除以保持美观'）。","capabilities":[],"protocols":["OPENCLAW"],"safetyScore":84,"overallRank":62,"trustScore":null,"trust":null,"source":"CLAWHUB","updatedAt":"2026-10-10T00:12:00.670Z"}