Identify plant species from images via the Pl@ntNet API with confidence scores.
npx skills add https://github.com/eNudimmud/ENKI --skill plantnet-identify
Please help me install this Agent Skill. Skill: plantnet-identify Source: https://github.com/eNudimmud/ENKI/tree/main/skills/plantnet-identify Command: npx skills add https://github.com/eNudimmud/ENKI --skill plantnet-identify
This skill helps users identify unknown plants from images and provides tailored biodynamic care advice, addressing the need for quick and accurate botanical identification and sustainable gardening practices.
Use the plantnet-identify skill to identify the plant in the attached image.
High-intent search queries and answers about installing and using this skill.
To identify a plant from a photo, you submit the image with an optional organ specification like leaf or flower. The tool queries the Pl@ntNet API to return scientific names, common names, and confidence scores for accurate species matching.
Yes, you can get biodynamic gardening advice tailored to identified plants. The tool provides care recommendations aligned with lunar cycles and botanical families, alongside toxicity and edibility checks for safe sustainable practices.
Plant identification supports language selection for accurate botanical diagnostics. By specifying your preferred language when submitting the image, the API returns common names and biodynamic care recommendations in that language.
To use the Pl@ntNet API for botanical diagnostics, you need a plant image and the Python requests library. Providing optional organ details like flower or bark improves identification accuracy and confidence scores.
When identifying toxic or edible plants, limitations include reliance on API confidence scores and image quality. The tool provides toxicity and edibility alerts based on the matched species, but always verify results before consumption.
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