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智慧农业
by
ai-gaoqian
· GitHub ↗
· v1.0.0
· MIT-0
42
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Install in OpenClaw
/install smart-agriculture
Description
面向现代农业的AI智能体技能，支持作物生长监测、病虫害识别与防治、气候风险分析、农事作业规划、农产品市场价格追踪、土壤分析与肥料推荐。服务种植户、农业企业和农技人员。
README (SKILL.md)
智慧农业 (Smart Agriculture)
概述
将AI能力注入农业生产全流程，从播种到收获，提供数据驱动的决策支持。结合图像识别、气候数据和市场信息，帮助农业从业者降本增效、科学种植。
核心能力
1. 作物生长监测
- 基于图像分析的作物生长阶段识别
- 长势异常检测（缺素、干旱、徒长）
- 产量预估与最佳采收期建议
2. 病虫害识别与防治
- 支持拍照上传的病虫害AI识别（覆盖200+种常见病虫害）
- 防治方案推荐（化学防治、生物防治、物理防治）
- 农药使用安全间隔期提醒
3. 气候风险分析
- 基于气象预报的灾害风险评估（霜冻、暴雨、干旱、高温）
- 农事作业天气适宜度评分
- 历史气候数据查询与趋势分析
4. 农事作业规划
- 播种/施肥/灌溉/采收日程智能规划
- 轮作方案推荐（基于土壤与作物属性）
- 农资采购清单与成本预算
5. 市场行情追踪
- 主要农产品批发市场价格实时查询
- 价格趋势预测与销售时机建议
- 产销对接信息匹配
使用方式
分析这张作物照片的健康状况 [上传图片]
识别这片叶子的病虫害并给出防治方案
查询未来一周是否适合 [播种/收割]
对比 [品种A] 和 [品种B] 在本地区的适宜性
输出格式
- 作物诊断报告：病虫害名称、危害程度、防治方案、用药建议
- 气候简报：7天农事适宜度 + 灾害预警
- 农事日历：按月份/物候期的作业清单
- 市场行情：价格走势图数据 + 销售建议
适用场景
- 种植大户的日常田间管理与决策
- 农业技术服务人员的远程诊断工具
- 农业保险的定损参考
- 农产品电商的产地品控与溯源
注意事项
- 病虫害识别准确率受图片质量影响，建议多角度拍摄
- 气候预测基于公开气象数据，极端天气前请关注官方预警
- 农药使用请严格遵守当地法规和安全间隔期
- 数据底座覆盖中国主要农作物品种和常见病虫害数据库
Usage Guidance
Install only if you need these ClawHub/Convex maintainer workflows. Before using autoreview, consider running it with the no-yolo option and disabling fallback reviewers unless you are comfortable granting full local access and sending diffs to configured external review CLIs.
Capability Assessment
Purpose & Capability
The Convex setup, migration, performance, ClawHub moderation, and PR-maintainer instructions match their stated purposes, but several are high-impact workflows involving production data, staff moderation, PR comments, and account/package actions.
Instruction Scope
Most high-impact operations include explicit gates, dry runs, reasons, or confirmations, but the autoreview helper defaults to invoking nested Codex review with approval and sandbox bypass, which is broader than ordinary code review needs.
Install Mechanism
The artifacts are mainly SKILL.md guidance, references, icons, OpenAI agent metadata, and one executable autoreview script; no install-time hook or hidden persistence was found.
Credentials
Admin and migration powers are purpose-aligned and gated, but default danger-full-access review plus automatic fallback to local external reviewer CLIs can expose repository diffs or grant more local authority than expected.
Persistence & Privilege
No unbounded persistence or credential theft behavior was found; some workflows use existing CLI auth, local env files, long-running Convex/dev watchers, or audit-logged admin APIs as disclosed.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install smart-agriculture - After installation, invoke the skill by name or use
/smart-agriculture - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Smart Agriculture v1.0.0 – Initial Release
- Supports crop growth monitoring with image analysis, abnormal growth detection, and yield estimation.
- Enables AI-driven pest and disease identification from photos, including prevention and treatment recommendations.
- Provides climate risk analysis using weather forecasts and historical climate data.
- Offers intelligent planning for sowing, fertilization, irrigation, and harvest schedules.
- Tracks real-time agricultural product prices and offers sales timing suggestions.
- Designed for growers, agricultural enterprises, and technical staff to enhance decision-making and efficiency.
Metadata
Frequently Asked Questions
What is 智慧农业?
面向现代农业的AI智能体技能，支持作物生长监测、病虫害识别与防治、气候风险分析、农事作业规划、农产品市场价格追踪、土壤分析与肥料推荐。服务种植户、农业企业和农技人员。 It is an AI Agent Skill for Claude Code / OpenClaw, with 42 downloads so far.
How do I install 智慧农业?
Run "/install smart-agriculture" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is 智慧农业 free?
Yes, 智慧农业 is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does 智慧农业 support?
智慧农业 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created 智慧农业?
It is built and maintained by ai-gaoqian (@ai-gaoqian); the current version is v1.0.0.
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