Plant Wilting Monitoring Analysis

Problem

Early plant wilting is often ambiguous: drooping leaves can be caused by water deficit, high temperature, or vascular diseases such as fusarium and verticillium wilt. By the time symptoms are obvious, the best window for precision irrigation or disease containment may have passed. This skill works from images, videos, local files, or public URLs, and turns a visual check into a structured assessment: early signs, likely wilting category, severity estimate, and warning suggestions.

How It Works

• Supports jpg/jpeg/png up to 20MB, or a public image/video URL that the backend service downloads.
• The stated analysis pipeline combines hyperspectral imaging, computer vision, and Raman spectroscopy to examine leaf spectral reflectance, transpiration cues, and molecular vibration features linked to water stress.
• Outputs a structured report with detection results, risk notes, recommendations, and a report link; --detail can be set to basic, standard, or json.
• Historical report queries must use the cloud interface, for example via --list, and are rendered as a Markdown table rather than reconstructed from local memory.

Limits

The result is an early-warning reference, not a field diagnosis. Final decisions should consider crop stage, growing conditions, and plant pathology advice. Use mature mid-canopy leaves, avoid strong backlight or glare, and avoid fully dead samples; time-series inputs improve the ability to distinguish environmental wilting from pathological wilt.