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Hydroponic Nutrient Concentration Visual Assessment | 水培植物营养液浓度视觉评估

Using fixed cameras on a hydroponic growing rack to capture high-resolution images of plant roots (in transparent containers) and leaves (young and old), AI vision analysis identifies root color (white = healthy, yellow = early stress, brown = severe stress, black = rotting) and leaf morphology (tip burn, leaf-margin scorch, yellowing, curling) to judge whether the nutrient solution is too concentrated or too dilute, and. | 通过水培种植架的固定摄像头拍摄植物根系（透明容器）和叶片（新叶、老叶）的高清图像，利用AI视觉分析技术识别根须颜色（白色健康、黄色初期胁迫、褐色严重胁迫、黑色腐烂）、叶片形态（叶尖灼伤、叶缘焦枯、叶片黄化、卷曲）等特征，判断营养液浓度是否过浓或过稀，并输出调整建议（增加清水稀释或补充浓缩营养液）。

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

1.8k

Updated

Oct 10, 2026

Version

1.0.10

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 1.8K downloads reported by the source. Last updated 10/10/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor: Clawhubvendor · observed Oct 10, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 10, 2026
Adoption signal: 1.8K downloadsadoption · observed Oct 10, 2026
Latest release: 1.0.10release · observed Sep 27, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s17cfv2h26b7hq5w47tgfy23xx83z9x6:smyx-hydroponic-nutrient-assessment-analysis

Install using `clawhub skill install s17cfv2h26b7hq5w47tgfy23xx83z9x6:smyx-hydroponic-nutrient-assessment-analysis` in an isolated environment before connecting it to live workloads.
No published capability contract is available yet, so validate auth and request/response behavior manually.
Review the upstream CLAWHUB listing at https://clawhub.ai/smyx-sunjinhui/smyx-hydroponic-nutrient-assessment-analysis before using production credentials.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-smyx-sunjinhui-smyx-hydroponic-nutrient-assessment-anal/snapshot"

Documentation

CLAWHUB

144,393 characters of source documentation, loaded on request.

Extracted files

5 files captured from the source.

SKILL.md

---
name: "smyx-hydroponic-nutrient-assessment-analysis"
description: "Using fixed cameras on a hydroponic growing rack to capture high-resolution images of plant roots (in transparent containers) and leaves (young and old), AI vision analysis identifies root color (white = healthy, yellow = early stress, brown = severe stress, black = rotting) and leaf morphology (tip burn, leaf-margin scorch, yellowing, curling) to judge whether the nutrient solution is too concentrated or too dilute, and. | 通过水培种植架的固定摄像头拍摄植物根系（透明容器）和叶片（新叶、老叶）的高清图像，利用AI视觉分析技术识别根须颜色（白色健康、黄色初期胁迫、褐色严重胁迫、黑色腐烂）、叶片形态（叶尖灼伤、叶缘焦枯、叶片黄化、卷曲）等特征，判断营养液浓度是否过浓或过稀，并输出调整建议（增加清水稀释或补充浓缩营养液）。"
version: "1.0.16"
license: "MIT-0"
---

# 💧 Hydroponic Nutrient Concentration Visual Assessment | 水培植物营养液浓度视觉评估
> **智能分析中枢** · 图片/视频智能分析 · 结构化报告 · 历史报告云端查询

---

## 🧭 技能概览 | Overview

| 模块 | 内容 |
|---|---|
| 🏷️ 技能名称 | **水培植物营养液浓度视觉评估** |
| 🎯 核心目标 | 通过水培种植架的固定摄像头拍摄植物根系（透明容器）和叶片（新叶、老叶）的高清图像，利用AI视觉分析技术识别根须颜色（白色健康、黄色初期胁迫、褐色严重胁迫、黑色腐烂）、叶片形态（叶尖灼伤、叶缘焦枯、叶片黄化、卷曲）等特征，判断营养液浓度是否过浓或过稀，并输出调整建议（增加清水稀释或补充浓缩营养液）。 |
| 🖼️ 输入类型 | 图片、视频、本地文件、网络 URL |
| 📝 输出能力 | 结构化分析报告、识别/监测结果、建议与报告链接 |
| 🧩 场景码 | `SMYX_HYDROPONIC_NUTRIENT_ASSESSMENT_ANALYSIS` |

Using fixed cameras on a hydroponic growing rack to capture high-resolution images of plant roots (in transparent
containers) and leaves (young and old), AI vision analysis identifies root color (white = healthy, yellow = early
stress, brown = severe stress, black = rotting) and leaf morphology (tip burn, leaf-margin scorch, yellowing, curling)
to judge whether the nutrient solution is too concentrated or too dilute, and outputs adjustment advice (dilute with
fresh water or add concentrated nutrient solution). This skill lets hydroponic growers quickly assess nutrient solution
status without an EC meter. Application scenarios: hydroponic growing racks, home hydroponic vegetables, plant
factories, research hydroponic systems. The system periodically (e.g., weekly) captures root and leaf images,
automatically analyzes them and pushes alerts (e.g., 'roots are turning yellow, leaf tips are burned, nutrient
concentration may be too high, suggest adding fresh water to dilute'). Skill features: hydroponic beginners often suffer
from burnt seedlings or nutrient deficiency due to wrong nutrient concentration. AI visual assessment lets users judge
quickly without instruments, lowering the learning curve. Can be integrated into hydroponic racks or mobile apps to
improve user experience and success rate.

通过水培种植架的固定摄像头拍摄植物根系（透明容器）和叶片（新叶、老叶）的高清图像，利用AI视觉分析技术识别根须颜色（白色健康、黄色初期胁迫、褐色严重胁迫、黑色腐烂）、叶片形态（叶尖灼伤、叶缘焦枯、叶片黄化、卷曲）等特征，判断营养液浓度是否过浓或过稀，并输出调整建议（增加清水稀释或补充浓缩营养液）。该技能帮助水培种植者在不使用EC计的情况下，快速评估营养液状态。应用场景：水培种植架、家庭水培蔬菜、植物工厂、科研水培装置。系统定期（如每周）拍摄根部和叶部图像，自动分析并推送提醒（如'根系变黄，叶尖灼伤，营养液浓度可能过高，建议加入清水稀释'
）。技能特点：水培新手常因营养液浓度不当导致烧苗或缺素。通过AI视觉评估，用户无需仪器即可快速判断，降低种植门槛。该技能可集成到水培种植架或手机APP中，提升用户体验和成功率。

## 🤖 AI 角色 | AI Role
| 角色要点 | 说明 |
|---|---|
| 说明 1 | **假设你是一个专业的水培植物营养 AI。你的任务是分析水培植物的根系图像（透明容器内）和叶片图像，识别根须颜色、根尖状态、叶片灼伤和黄化等特征，判断营养液浓度是

_meta.json

{
  "ownerId": "kn7cyxkr2ymf7zwsrybpedg8xx83ywrj",
  "slug": "smyx-hydroponic-nutrient-assessment-analysis",
  "version": "1.0.10",
  "publishedAt": 1790539712304
}

references/api_doc.md

# API 接口文档

此处用于存放水培植物营养液浓度视觉评估 API 的接口文档，待后续补充。

## 接口规范

- 基础地址：由 smyx_common 配置统一管理
- 认证方式：API Key 鉴权
- 响应格式：JSON

## 主要接口

1. `/web/health-analysis/v2/start-health-analysis` - 启动水培营养液浓度评估任务
2. `/web/health-analysis/v2/get-health-analysis-result` - 获取分析结果与调整建议
3. `/web/health-analysis/page-health-analysis-result` - 分页查询历史评估记录
4. `/health/order/api/getReportDetailExport?id={id}` - 导出完整报告

## 场景代码

- `SMYX_HYDROPONIC_NUTRIENT_ASSESSMENT_ANALYSIS` - 水培植物营养液浓度视觉评估

## 输入约束

- 推荐分别拍摄根系（透明容器内）与叶片（新叶+老叶）的高清图像
- 拍摄环境建议光照均匀、镜头无水雾，避免反光遮挡根须
- 关键观测特征：
    - 根须颜色（白色健康 / 黄色初期胁迫 / 褐色严重胁迫 / 黑色腐烂）
    - 根尖状态（饱满白尖 / 萎缩 / 发黑）
    - 叶片：叶尖灼伤、叶缘焦枯、叶片黄化、卷曲

## 输出字段（参考）

- `root_color_grade` - 根系颜色等级（healthy / mild_stress / severe_stress / rot）
- `leaf_burn_signs` - 叶片灼伤体征（叶尖灼伤 / 叶缘焦枯 / 黄化 / 卷曲）
- `nutrient_status` - 营养液浓度判断（适宜 / 偏浓 / 偏稀 / 严重过浓 / 严重过稀）
- `adjust_advice` - 调整建议（如"加入清水稀释"、"补充浓缩营养液"、"立即换液并清洗根系"）

> 仅基于视觉特征给出定性结论，不输出具体 EC / ppm 数值。

skills/smyx_analysis/references/api_doc.md

# API接口文档

## 接口规范

- 基础地址：由 smyx_common 配置统一管理
- 认证方式：API Key 鉴权
- 请求格式：支持文件上传
- 响应格式：JSON

## 错误码说明

| 错误码 | 说明       |
|-----|----------|
| 400 | 请求参数错误   |
| 401 | API密钥无效  |
| 403 | 权限不足     |
| 413 | 文件过大     |
| 415 | 不支持的文件格式 |
| 500 | 服务器内部错误  |

scripts/config.yaml

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