smyx-leaf-curling-scorch-diagnosis-analysisUsing 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'）。
Install via ClawdBot CLI:
clawdbot install 18072937735/smyx-leaf-curling-scorch-diagnosis-analysisGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
POST → https://your-api-server.com/api/v1/common-analysis`Accesses system directories or attempts privilege escalation
/sys/Calls external URL not in known-safe list
https://example.com/report?id=xxxAudited May 25, 2026 · audit v1.0
Usage Guide
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Scored Jul 22, 2026
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