Xpersona
agentCLAWHUBUnverified

Plant Nutrient Deficiency Diagnosis | 植物缺素症视觉诊断

AI-powered plant nutrient deficiency diagnosis from leaf images. Detects leaf color, morphology changes (pale green/yellow-green/purple-red, marginal scorch, interveinal chlorosis) via computer vision, matches against common deficiency symptom databases, and outputs the most likely deficient nutrient element (nitrogen, phosphorus, potassium, iron, magnesium, zinc, etc.) with confidence score. Enables precision fertilization, avoids blind over-fertilization. Scenarios: smart planters, home gardening, agricultural greenhouses, plant factories. | 通过智能花盆、农业大棚或手机拍摄的植物叶片高清图像，利用AI视觉分析技术识别叶片颜色、形态变化（如叶色浅绿/黄绿/紫红、叶缘焦枯、叶脉间失绿等），与常见营养缺乏症特征库比对，输出最可能缺乏的营养元素（氮、磷、钾、铁、镁、锌等）及置信度。有助于精准施肥，避免盲目用肥造成浪费或伤害。应用场景：智能花盆、家庭园艺、农业大棚、植物工厂。

OpenClaw
View on ClawHubHomepage

Rank

62

Safety

84

Downloads

1.8k

Updated

Oct 10, 2026

Version

1.0.12

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
1.0.12release · observed Oct 2, 2026
Handshake status
UNKNOWNsecurity

Install and run

Setup complexity: low.

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

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-smyx-sunjinhui-smyx-plant-nutrient-diagnosis-analysis/snapshot"

Documentation

CLAWHUB

154,931 characters of source documentation, loaded on request.

Extracted files

5 files captured from the source.

SKILL.md

---
name: "smyx-plant-nutrient-diagnosis-analysis"
description: "AI-powered plant nutrient deficiency diagnosis from leaf images. Detects leaf color, morphology changes (pale green/yellow-green/purple-red, marginal scorch, interveinal chlorosis) via computer vision, matches against common deficiency symptom databases, and outputs the most likely deficient nutrient element (nitrogen, phosphorus, potassium, iron, magnesium, zinc, etc.) with confidence score. Enables precision fertilization, avoids blind over-fertilization. Scenarios: smart planters, home gardening, agricultural greenhouses, plant factories. | 通过智能花盆、农业大棚或手机拍摄的植物叶片高清图像，利用AI视觉分析技术识别叶片颜色、形态变化（如叶色浅绿/黄绿/紫红、叶缘焦枯、叶脉间失绿等），与常见营养缺乏症特征库比对，输出最可能缺乏的营养元素（氮、磷、钾、铁、镁、锌等）及置信度。有助于精准施肥，避免盲目用肥造成浪费或伤害。应用场景：智能花盆、家庭园艺、农业大棚、植物工厂。"
version: "1.0.10"
license: "MIT-0"
---

# 🧪 Plant Nutrient Deficiency Diagnosis | 植物缺素症视觉诊断
> **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 | **植物缺素症视觉诊断** |
| 🎯 核心目标 | 通过智能花盆、农业大棚或手机拍摄的植物叶片高清图像，利用AI视觉分析技术识别叶片颜色、形态变化（如叶色浅绿/黄绿/紫红、叶缘焦枯、叶脉间失绿等），与常见营养缺乏症特征库比对，输出最可能缺乏的营养元素（氮、磷、钾、铁、镁、锌等）及置信度。有助于精准施肥，避免盲目用肥造成浪费或伤害。应用场景：智能花盆、家庭园艺、农业大棚、植物工厂。 |
| 🖼️ 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_PLANT_NUTRIENT_DIAGNOSIS_ANALYSIS` |

AI-powered plant nutrient deficiency diagnosis from leaf images. Detects leaf color, morphology changes (pale
green/yellow-green/purple-red, marginal scorch, interveinal chlorosis) via computer vision, matches against common
deficiency symptom databases, and outputs the most likely deficient nutrient element (nitrogen, phosphorus, potassium,
iron, magnesium, zinc, etc.) with confidence score. Enables precision fertilization, avoids blind over-fertilization.
Scenarios: smart planters, home gardening, agricultural greenhouses, plant factories.

通过智能花盆、农业大棚或手机拍摄的植物叶片高清图像，利用AI视觉分析技术识别叶片颜色、形态变化（如叶色浅绿/黄绿/紫红、叶缘焦枯、叶脉间失绿等），与常见营养缺乏症特征库比对，输出最可能缺乏的营养元素（氮、磷、钾、铁、镁、锌等）及置信度。有助于精准施肥，避免盲目用肥造成浪费或伤害。应用场景：智能花盆、家庭园艺、农业大棚、植物工厂。

## 🤖 AI 角色 | AI Role
| 角色要点 | 说明 |
|---|---|
| 说明 1 | **假设你是一个专业的植物营养学AI。你的任务是分析植物叶片的图像（老叶或新叶），识别叶片颜色异常、形态畸变、失绿分布等特征，与常见缺素症状进行比对，输出最可能缺乏的营养元素类型。不要提供具体化肥浓度，仅输出缺素诊断结果及置信度。 ** |

## 🎬 技能演示 | Skill Demo

[▶️ 点击查看技能使用介绍](https://lifeemergence.com/sample.html)

---

## 🎯 任务目标 | Goals
### 1. 🧩 技能用途

通过植物叶片高清图像进行缺素症视觉诊断，输出最可能缺乏的营养元素类型、置信度及施肥方向建议

### 2. 🛠️ 能力范围

| 序号 | 具体能力 |
|---:|---|
| 1 | 叶片颜色异常检测 |
| 2 | 叶脉间失绿识别 |
| 3 | 叶缘焦枯检测 |
| 4 | 老叶/新叶症状区分 |
| 5 | 常见缺素症比对（氮/磷/钾/铁/镁/锌/钙/硼/锰/铜/硫等） |
| 6 | 置信度评分 |
| 7 | 施肥方向建议 |

### 3. ⚡ 触发条件

| 触发类型 | 触发规则 |
|---|---|
| ✅ 默认触发 | **默认触发**：当用户提供植物叶片图像或视频需要缺素诊断时，默认触发本技能 |
| 🔎 明确分析意图 | 当用户明确需要植物营养诊断时，提及缺素、黄叶、叶缘焦枯、叶脉间失绿、缺氮、缺磷、缺钾、缺铁、缺镁、植物营养不良、叶片发黄等关键词，并且上传了图像或视频文件 |
| 📚 历史报告查询 | 当用户提及以下关键词时，**自动触发历史报告查询功能** ：查看历史缺素诊断报告、历史植物营养报告、缺素症报告清单、显示所有缺素报告、查询植物营养诊断记录 |

### 4. 🤖 自动行为

| 自动行为 | 执行要求 |
|---|---|
| 📎 附件处理 | 如果用户上传了附件或者视频/图片文件，则自动保存为本地文件 |
| ☁️ 历史报告查询 | 如果用户触发历史报告查询关键词，必须直接调用云端 API 查询，不得从本地记忆或人工汇总中获取 |

#### ⚠️ 强制数据获取规则（次高优先级）

_meta.json

{
  "ownerId": "kn7cyxkr2ymf7zwsrybpedg8xx83ywrj",
  "slug": "smyx-plant-nutrient-diagnosis-analysis",
  "version": "1.0.12",
  "publishedAt": 1790952206163
}

references/api_doc.md

# API 接口文档

此处用于存放植物缺素症视觉诊断 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/ai-analysis/v2/start-common-ai-analysis` - 启动通用 AI 分析任务（植物缺素症视觉诊断）
2. `/web/ai-analysis/get-common-ai-analysis-result` - 获取分析结果
3. `/web/ai-analysis/page-common-ai-analysis-result` - 分页查询历史报告
4. `/health/order/api/getReportDetailExport?id={id}` - 导出完整报告

## 场景代码

- `SMYX_PLANT_NUTRIENT_DIAGNOSIS_ANALYSIS` - 植物缺素症视觉诊断

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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Machine-readable data

The same record, as JSON, for agents and crawlers.

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Record generated Oct 10, 2026.

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