What makes Plant Leaf Disease Identification | 植物叶片病害特征识别 notable?

1.9K downloads. Trust evidence available

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Plant Leaf Disease Identification | 植物叶片病害特征识别

AI-powered plant leaf disease identification from high-resolution leaf images. Detects disease lesion features (color, shape, distribution, surface deposits) such as white powdery patches (powdery mildew), rust-colored spore pustules (rust), brown necrotic spots (leaf spot), and outputs the most likely disease type with confidence score. Helps users quickly diagnose plant diseases and take timely measures. Scenarios: plant factories, greenhouses, home gardening, farm inspection. | 通过拍摄植物叶片的高清图像，利用AI视觉分析技术识别叶片上的病斑特征（颜色、形状、分布），检测是否有白色粉状物（白粉病）、锈色孢子堆（锈病）、褐色坏死斑（叶斑病）等典型症状，输出最可能的病害类型及置信度。帮助用户快速诊断植物病害，采取防治措施。应用场景：植物工厂、温室大棚、家庭盆栽、园艺养护。

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

1.9k

Updated

Oct 9, 2026

Version

1.0.13

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 1.9K downloads reported by the source. Last updated 10/9/2026.

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 9, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 9, 2026
Adoption signal: 1.9K downloadsadoption · observed Oct 9, 2026
Latest release: 1.0.13release · observed Oct 1, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s17f8q65zg3y98t86jdg1177g583whq8:smyx-plant-leaf-disease-identification-analysis

Install using `clawhub skill install s17f8q65zg3y98t86jdg1177g583whq8:smyx-plant-leaf-disease-identification-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/18072937735/smyx-plant-leaf-disease-identification-analysis before using production credentials.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-18072937735-smyx-plant-leaf-disease-identification-anal/snapshot"

Documentation

CLAWHUB

140,351 characters of source documentation, loaded on request.

Extracted files

5 files captured from the source.

SKILL.md

---
name: "smyx-plant-leaf-disease-identification-analysis"
description: "AI-powered plant leaf disease identification from high-resolution leaf images. Detects disease lesion features (color, shape, distribution, surface deposits) such as white powdery patches (powdery mildew), rust-colored spore pustules (rust), brown necrotic spots (leaf spot), and outputs the most likely disease type with confidence score. Helps users quickly diagnose plant diseases and take timely measures. Scenarios: plant factories, greenhouses, home gardening, farm inspection. | 通过拍摄植物叶片的高清图像，利用AI视觉分析技术识别叶片上的病斑特征（颜色、形状、分布），检测是否有白色粉状物（白粉病）、锈色孢子堆（锈病）、褐色坏死斑（叶斑病）等典型症状，输出最可能的病害类型及置信度。帮助用户快速诊断植物病害，采取防治措施。应用场景：植物工厂、温室大棚、家庭盆栽、园艺养护。"
version: "1.0.16"
license: "MIT-0"
---

# 🍃 Plant Leaf Disease Identification | 植物叶片病害特征识别
> **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 | **植物叶片病害特征识别** |
| 🎯 核心目标 | 通过拍摄植物叶片的高清图像，利用AI视觉分析技术识别叶片上的病斑特征（颜色、形状、分布），检测是否有白色粉状物（白粉病）、锈色孢子堆（锈病）、褐色坏死斑（叶斑病）等典型症状，输出最可能的病害类型及置信度。帮助用户快速诊断植物病害，采取防治措施。应用场景：植物工厂、温室大棚、家庭盆栽、园艺养护。 |
| 🖼️ 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_LEAF_DISEASE_IDENTIFICATION_ANALYSIS` |

AI-powered plant leaf disease identification from high-resolution leaf images. Detects disease lesion features (color, shape, distribution, surface deposits) such as white powdery patches (powdery mildew), rust-colored spore pustules (rust), brown necrotic spots (leaf spot), and outputs the most likely disease type with confidence score. Helps users quickly diagnose plant diseases and take timely measures. Scenarios: plant factories, greenhouses, home gardening, farm inspection.

通过拍摄植物叶片的高清图像，利用AI视觉分析技术识别叶片上的病斑特征（颜色、形状、分布），检测是否有白色粉状物（白粉病）、锈色孢子堆（锈病）、褐色坏死斑（叶斑病）等典型症状，输出最可能的病害类型及置信度。帮助用户快速诊断植物病害，采取防治措施。应用场景：植物工厂、温室大棚、家庭盆栽、园艺养护。

## 🤖 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病理学AI。你的任务是分析植物叶片的图像，识别叶片上的病斑特征（颜色、形状、分布、表面附着物），与常见病害特征库比对，输出最可能的病害类型及置信度。不要提供化学防治具体方案，仅输出病害识别结果。** |

## 🎬 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病害特征识别，输出最可能的病害类型、置信度及通用防治方向建议

### 2. 🛠️ 能力范围

| 序号 | 具体能力 |
|---:|---|
| 1 | 叶片病斑检测 |
| 2 | 病斑特征提取（颜色/形状/分布/表面附着物） |
| 3 | 常见病害比对（白粉病/锈病/叶斑病/霜霉病/炭疽病等） |
| 4 | 置信度评分 |
| 5 | 通用防治方向建议 |

### 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分析时，默认触发本技能进行病害识别 |
| 🔎 明确分析意图 | 当用户明确需要植物病害诊断时，提及植物病害、叶片发黄、白粉、锈斑、烂叶、植物诊断等关键词，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** ：查看历史植物病害报告、历史叶片诊断报告、植物病害报告清单、显示所有植物报告、查询植物诊断记录 |

### 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）

> **橙色强约束：** 历史报告清单只允许从云端接口读取，不允许从本地记录、长期记忆或人工汇总中提取。

必须执行：

```bash
python -m scripts.smyx_plant_leaf_disease_identification_analysis --list
```

| 类型 | 要求 |
|---|---|
| ✅ 必须 | 使用 `python -m scripts.smyx_plant

_meta.json

{
  "ownerId": "kn7e2caqj7pnsvr9r7t8zenghs83xw7n",
  "slug": "smyx-plant-leaf-disease-identification-analysis",
  "version": "1.0.13",
  "publishedAt": 1790892926942
}

references/api_doc.md

# API 接口文档

此处用于存放植物叶片病害特征识别 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（植物叶片病害识别）
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_LEAF_DISEASE_IDENTIFICATION_ANALYSIS` - 植物叶片病害特征识别

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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