Xpersona
agentCLAWHUBUnverified

Flowering Date Prediction | 开花植物花期预测

AI-powered flowering-date prediction for ornamental/cut-flower plants. From fixed greenhouse cameras or drones, captures images of flower-bud developmental stages, combines environmental sensor data — cumulative temperature (Growing Degree Days, GDD) and accumulated light (PAR or daylight hours) — and uses a pre-trained phenology model to predict the full-bloom date within the next 3-7 days. Helps growers precisely schedule pollination, harvesting and tourism activities. Scenarios: smart-agriculture greenhouses, cut-flower production bases, botanical gardens, flower tourism parks. | 通过智慧农业温室中的固定摄像头或无人机拍摄植物花蕾发育阶段的图像，并结合环境传感器提供的温度累积（生长度日，GDD）、光照累积（光合有效辐射或日照时长）等数据，利用预训练的物候模型预测未来3-7天内的开花日期（花朵完全开放）。该技能有助于温室种植者精准安排授粉、采收或观光活动。应用场景：智慧农业温室、切花生产基地、植物园、花卉观光园区。

OpenClaw
View on ClawHubHomepage

Rank

62

Safety

84

Downloads

1.7k

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. 1.7K 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
1.7K downloadsadoption · observed Oct 10, 2026
Latest release
1.0.10release · observed Sep 30, 2026
Handshake status
UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s17f8q65zg3y98t86jdg1177g583whq8:smyx-flowering-date-prediction-analysis
  1. Install using `clawhub skill install s17f8q65zg3y98t86jdg1177g583whq8:smyx-flowering-date-prediction-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/18072937735/smyx-flowering-date-prediction-analysis before using production credentials.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-18072937735-smyx-flowering-date-prediction-analysis/snapshot"

Documentation

CLAWHUB

133,782 characters of source documentation, loaded on request.

Extracted files

5 files captured from the source.

SKILL.md

---
name: "smyx-flowering-date-prediction-analysis"
description: "AI-powered flowering-date prediction for ornamental/cut-flower plants. From fixed greenhouse cameras or drones, captures images of flower-bud developmental stages, combines environmental sensor data — cumulative temperature (Growing Degree Days, GDD) and accumulated light (PAR or daylight hours) — and uses a pre-trained phenology model to predict the full-bloom date within the next 3-7 days. Helps growers precisely schedule pollination, harvesting and tourism activities. Scenarios: smart-agriculture greenhouses, cut-flower production bases, botanical gardens, flower tourism parks. | 通过智慧农业温室中的固定摄像头或无人机拍摄植物花蕾发育阶段的图像，并结合环境传感器提供的温度累积（生长度日，GDD）、光照累积（光合有效辐射或日照时长）等数据，利用预训练的物候模型预测未来3-7天内的开花日期（花朵完全开放）。该技能有助于温室种植者精准安排授粉、采收或观光活动。应用场景：智慧农业温室、切花生产基地、植物园、花卉观光园区。"
version: "1.0.16"
license: "MIT-0"
---

# 🌸 Flowering Date Prediction | 开花植物花期预测
> **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 | **开花植物花期预测** |
| 🎯 核心目标 | 通过智慧农业温室中的固定摄像头或无人机拍摄植物花蕾发育阶段的图像，并结合环境传感器提供的温度累积（生长度日，GDD）、光照累积（光合有效辐射或日照时长）等数据，利用预训练的物候模型预测未来3-7天内的开花日期（花朵完全开放）。该技能有助于温室种植者精准安排授粉、采收或观光活动。应用场景：智慧农业温室、切花生产基地、植物园、花卉观光园区。 |
| 🖼️ 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_FLOWERING_DATE_PREDICTION_ANALYSIS` |

AI-powered flowering-date prediction for ornamental/cut-flower plants. From fixed greenhouse cameras or drones, captures images of flower-bud developmental stages, combines environmental sensor data — cumulative temperature (Growing Degree Days, GDD) and accumulated light (PAR or daylight hours) — and uses a pre-trained phenology model to predict the full-bloom date within the next 3-7 days. Helps growers precisely schedule pollination, harvesting and tourism activities. Scenarios: smart-agriculture greenhouses, cut-flower production bases, botanical gardens, flower tourism parks.

通过智慧农业温室中的固定摄像头或无人机拍摄植物花蕾发育阶段的图像，并结合环境传感器提供的温度累积（生长度日，GDD）、光照累积（光合有效辐射或日照时长）等数据，利用预训练的物候模型预测未来3-7天内的开花日期（花朵完全开放）。该技能有助于温室种植者精准安排授粉、采收或观光活动。应用场景：智慧农业温室、切花生产基地、植物园、花卉观光园区。

## 🤖 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物候预测 AI。你的任务是分析花蕾发育阶段的高清图像，结合当前及历史温光数据（生长度日 GDD、光照累积），基于作物物候模型预测未来 3-7 天内的开花日期（花朵完全开放）。不要提供具体的栽培操作（施肥配方、温控参数等），仅输出预测的开花日期与置信度。** |

## 🎬 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

通过花蕾发育阶段图像 + 可选环境温光数据进行花期预测，输出未来 3-7 天内的预计开花日期与物候阶段

### 2. 🛠️ 能力范围

| 序号 | 具体能力 |
|---:|---|
| 1 | 花蕾发育阶段识别（紧蕾期 / 露色期 / 显色期 / 临开放期） |
| 2 | GDD / 光照累积融合（如提供） |
| 3 | 未来开花日期预测（日期 + 置信度区间） |
| 4 | 物候发育速率提示 |
| 5 | 生产计划方向建议（授粉 / 采收 / 观光档期） |

### 3. ⚡ 触发条件

| 触发类型 | 触发规则 |
|---|---|
| ✅ 默认触发 | **默认触发**：当用户提供花蕾发育阶段图像或视频（可选附带温光累积数据）需要花期预测时，默认触发本技能 |
| 🔎 明确分析意图 | 当用户明确需要花期预测时，提及花期预测、开花时间、几天后开花、花蕾发育、物候、GDD、生长度日、温室花卉、切花生产、采收档期、观花期等关键词，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**：查看历史花期预测报告、历史花期报告、花期预测清单、显示所有花期分析报告、查询花期诊断记录 |

### 4. 🤖 自动行为

| 自动行为 | 执行要求 |
|---

_meta.json

{
  "ownerId": "kn7e2caqj7pnsvr9r7t8zenghs83xw7n",
  "slug": "smyx-flowering-date-prediction-analysis",
  "version": "1.0.10",
  "publishedAt": 1790799515999
}

references/api_doc.md

# API 接口文档

此处用于存放宠物健康分析 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` - 启动健康分析任务
2. `/web/health-analysis/v2/get-health-analysis-result` - 获取分析结果
3. `/web/health-analysis/page-health-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

- `OPEN_PET_HEALTH_ANALYSIS` - 开放平台宠物健康分析

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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