Automated Plant Care - Gemini Spark Library

Prompt Gemini for this Spark

"Gemini, create an implementation plan for an autonomous agent that manages my Automated Plant Care. It should connect to Google Tasks and Sheets, and fetch weather data. I live in [Your City, State] and have [List your Plant Types]. Please act as a system architect and ask me clarifying questions about my local environment, plant positioning, and exact schedule before generating the final plan."

extension Required Connectors

Gemini AI

Google Tasks

Google Sheets

route Agent Data Flow & Logic

The agent operates entirely autonomously in the background, executing the following decision tree every morning:

1. Data Capture

Fetches real-time hyper-local weather data, checking precipitation (mm) and relative humidity (%) for the day.

2. Logic Gate

If Humidity > 80% or Rain > 5mm, outdoor watering is automatically skipped to prevent root rot and conserve water.

3. Inventory Checking

Reads your Google Sheet inventory to determine specific watering volumes for individual plant species (e.g. 150ml for herbs vs 400ml for succulents).

4. Task Generation

Generates actionable due-today tasks in Google Tasks outlining exactly which plants to water and how much.

schedule Triggers & Schedules

Morning Pulse (8:00 AM): Time-based trigger to fetch weather, evaluate conditions, and create the morning task list.
Sunday Maintenance: Automatically schedules deep-clean tasks like RO water replacements and root inspections.

sync Feedback & Fallbacks (Nightly)

A crucial component of a 24/7 autonomous agent is its ability to learn from reality.

Nightly Reconciliation (11:59 PM): The agent reads your completed Google Tasks and notes.
Dynamic Adjustments: If you noted that a plant was still moist and skipped watering, the agent pushes the next scheduled watering date out dynamically.
Logging: Writes the final execution record to Google Sheets for long-term health tracking.