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@smartplant/watering

v1.0.0

Published

Plugin for predictive watering based on sensor data in SmartPlant

Readme

HEADER

@smartplant/watering

This plugin extends SmartPlant to provide predictive watering based on sensor data. It uses real-time humidity and temperature readings from DHT22 sensors to forecast watering needs, integrating with all supported AI models (Gemini, OpenAI, Grok, Claude, Ollama) for intelligent recommendations. The plugin calculates a "thirst level" and triggers alerts or automations.

Functionality

  • Monitors humidity and temperature via registered sensors.
  • Uses AI to predict watering intervals based on trends.
  • Supports switching AI models via configuration.
  • Visualizes predictions with SmartPlant's emoji scale (e.g., 🍂 for dry).

Installation

  1. Install the base library: npm install -g smartplant
  2. Install this plugin: npm install @smartplant/watering
  3. In your project: const watering = require('@smartplant/watering'); watering.init({ model: 'grok' });

Usage Example

const smartplant = require('smartplant');
const watering = require('@smartplant/watering');

watering.init({ model: 'ollama' });
const prediction = await watering.predictWatering({ humidity: 40, temperature: 25 });
console.log(prediction); // e.g., { advice: 'Water in 2 days', emoji: '🍂' }