{"id":"49806a63-663f-4718-afc1-03d124926568","slug":"clawhub-18072937735-smyx-leaf-curling-scorch-diagnosis-analysis","name":"Leaf Curling & Margin Scorch Diagnosis | 植物卷叶/焦边识别（干旱/病害）","description":"Using agricultural cameras to capture high-resolution images of plant leaves, AI vision techniques detect leaf curling direction (up-curling or down-curling) and the distribution of leaf-margin scorch (old vs new leaves, tip vs margin). | 通过农业摄像头拍摄植物叶片的高清图像，利用AI视觉分析技术检测叶片卷曲方向（上卷或下卷）、焦边（叶缘干枯）的分布特征（老叶/新叶、叶尖/叶缘），并可结合土壤湿度传感器数据（可选），综合判断卷叶/焦边的主要原因（干旱胁迫、病害如白粉病/病毒病、药害、肥害等）。系统定期巡检，发现卷叶或焦边时自动分析原因，输出诊断及建议（如'叶片上卷、叶缘焦枯，土壤湿度偏低，可能干旱，建议灌溉'）。","capabilities":[],"protocols":["OPENCLAW"],"safetyScore":84,"overallRank":62,"trustScore":null,"trust":null,"source":"CLAWHUB","updatedAt":"2026-10-10T01:13:23.594Z"}