💧 @smartplant/watering

Predicts watering needs from soil moisture, trends and care history.

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

Install

npm install smartplant @smartplant/watering

Use

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

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( watering )
await plant.read()

const result = await plant.plugin( 'watering' ).predictWatering( { potSizeCm : 20, substrate : 'coco coir' } )
console.log( result.advice, result.emoji )

API

predictWatering( input? )

Returns { advice, emoji, severity, daysUntilWater, amountMl }.

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.

Events

• Listens to plant:thirsty, emits watering:needed.

Recording a watering

await plant.plugin( 'watering' ).recordWatering( { amount : 200 } )

This updates the care log, so the next prediction knows how long it has been.

Test

npm test

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

📜 License

MIT — see LICENSE.