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Farmland Weed Identification | 农田杂草识别与密度评估

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144,126,000installs
Updated Aug 2026

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Description

Identifies weed species and coverage density from field top-view images, and outputs a weed distribution heatmap dataset to support precision weeding decisions. | 通过田间图像识别杂草种类与覆盖密度,生成除草建议区域热力图。

Install Farmland Weed Identification | 农田杂草识别与密度评估

Run this in your OpenClaw agent to add Farmland Weed Identification | 农田杂草识别与密度评估 from the ClawHub registry.

terminal
$openclaw skills install smyx-farmland-weed-identification-analysis

Requires ClawHub registry access. Review the security analysis below before installing.

Security Analysis

安全85/100

Open Source

Code is publicly available for audit.

Community Verified

Reviewed by the ClawHub community.

Community Reviews

Real user ratings only — separate from the editorial assessment and ClawHub signal.

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Frequently asked questions

Is Farmland Weed Identification | 农田杂草识别与密度评估 safe to install?

Farmland Weed Identification | 农田杂草识别与密度评估 has a SkillsReview security score of 85/100. It is open source and community-verified on ClawHub. Check the full Security Analysis on this page before installing.

How much does Farmland Weed Identification | 农田杂草识别与密度评估 cost?

Farmland Weed Identification | 农田杂草识别与密度评估 is free to install for OpenClaw via ClawHub.

What are the best alternatives to Farmland Weed Identification | 农田杂草识别与密度评估?

You can compare Farmland Weed Identification | 农田杂草识别与密度评估 side by side with similar OpenClaw skills on the SkillsReview comparison page to find the best fit for your workflow.

How do I install Farmland Weed Identification | 农田杂草识别与密度评估?

Install Farmland Weed Identification | 农田杂草识别与密度评估 from ClawHub at clawhub.ai/skills/smyx-farmland-weed-identification-analysis, or use the install action on this page to copy the command for your OpenClaw agent.

Community Signal

ClawHub Community Score6120.00 / 5.00
Installs144,126,000
Last UpdateAug 7, 2026
Actively maintained (2d ago)
ClawHub community score is a third-party marketplace signal. It is shown separately from SkillsReview editorial assessment and real user review averages.
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