smart irrigation

Smart Plant Watering Using TinyML: Water Savings through Predictive Control

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.

Implementation of smart irrigation using IoT and Artificial Intelligence

Water management is crucial for agriculture, as it is the primary source of irrigation for crops.  Effective water management can help farmers to improve crop yields, reduce water waste, and increase resilience to drought.  This can include practices such as precision irrigation, using sensors and technology to deliver water only where and when it is needed, and conservation tillage, which helps to reduce evaporation and retain moisture in the soil.  Additionally, farmers can implement water-saving techniques such as crop selection, crop rotation, and soil conservation to reduce their water