🌱 @smartplant/fertilizer

Recommends what to feed, how much and when, from conductivity and care history.

A plugin for smartplant — a bridge between AI and plants.

Install

npm install smartplant @smartplant/fertilizer

Use

import { createPlant } from 'smartplant'
import fertilizer from '@smartplant/fertilizer'

const plant = await createPlant( {
  name    : 'Ivy',
  species : 'Monstera deliciosa',
  sensor  : 'mock',                  // no hardware needed
  ai      : { provider : 'ollama' }, // or gemini / openai / claude / grok
} )

await plant.use( fertilizer )
await plant.read()

const result = await plant.plugin( 'fertilizer' ).guideFertilization( { season : 'spring' } )
console.log( result.advice, result.emoji )

API

guideFertilization( input? )

Returns { advice, emoji, severity, npk, dilution, daysUntilFeed }.

input is optional; anything you pass is handed to the AI as extra context alongside the plant's readings, trends and care history.

If the AI is unreachable or unconfigured, the call returns the deterministic offline result rather than throwing.

Errs toward underfeeding

Nutrient burn is much harder to undo than a deficiency, so the guidance is deliberately conservative.

await plant.plugin( 'fertilizer' ).recordFeeding( { product : 'seaweed extract' } )

Test

npm test

Runs against the mock sensor and mock AI provider — no hardware, no API key, no network.

📜 License

MIT — see LICENSE.