plant-wilting-monitoring-analysis
CommunityDetect early plant wilting and trigger alerts.
Data & Analytics#computer vision#early warning#disease detection#plant wilting#hyperspectral imaging#precision irrigation#history report listing
Authorsmyx-sunjinhui
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill solves the problem of delayed wilting detection by identifying early plant wilting signs before they become visible to the naked eye, enabling timely intervention to prevent yield loss and disease spread.
Core Features & Use Cases
- Early wilting detection (environment vs pathology): Analyzes leaf spectral reflectance, transpiration-related signals, and molecular vibration patterns to distinguish environmental wilting from pathological wilt.
- Quantitative wilting grading: Produces a quantified wilting grade and corresponding warning level to support decision-making.
- Decision support for precision management: Generates early warnings and management suggestions for precision irrigation and disease blocking.
- Use cases: precision agriculture irrigation control, greenhouse/indoor facility plant stress monitoring, orchard tree health early warning, drought-stress research automation, and landscape greenbelt watering management.
Quick Start
Ask it to monitor a plant by uploading a clear leaf image or video and tell it you want early wilting detection and an alert-grade assessment.
Dependency Matrix
Required Modules
requests
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: plant-wilting-monitoring-analysis Download link: https://github.com/smyx-sunjinhui/smyx-open-claw-skills/archive/main.zip#plant-wilting-monitoring-analysis Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
Agent Skills Search Helper
Install a tiny helper to your Agent, search and equip skill from 471,000+ vetted skills library on demand.