Smart Plant Watering Using TinyML: Water Savings through Predictive Control

2025;
: cc. 141 - 145
1
Ivan Franko National University, Ukraine
2
Львівський національний університет імені Івана Франка, Україна

Indoor plant watering is not always effective - people often overwater or underwater plants, wasting water and harming plant health. In view of this, a smart watering system using artificial intelligence that runs on a tiny microcontroller chip has been developed. The proposed system predicts when plants need water and waters them automatically. Testing on 12 plants for 3 months has showed 27% water savings versus manual watering and 15% savings versus simple automated systems. The AI model is only 8.7 KB and runs for months on battery power without Internet. This proves that tiny AI can save water and improve plant care.

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