Smart sensors and a camera team up to water plants smarter
Smart Irrigation
If you've ever overwatered a houseplant on a cloudy week or underwatered it during a heatwave, this is the kind of system that fixes exactly that by letting soil moisture and light levels, not the calendar, decide when water flows.
Researchers built a small device using cheap microcontrollers, sensors, and a camera that watches a plant's soil moisture, light, temperature, and humidity, then decides how long to water it using a simple decision-making algorithm instead of a fixed timer. The system sends live data and photos to a website so you can check on your plant remotely. In outdoor tests it reliably adjusted watering based on real conditions and kept the online dashboard updated with fresh sensor readings and images.
Key Findings
System combines ESP32 and ESP32-CAM hardware to monitor temperature, humidity, soil moisture, and light while capturing plant images
A zero-order Sugeno Fuzzy Logic algorithm uses soil moisture and light intensity as two inputs to calculate adaptive irrigation duration
Outdoor testing confirmed successful real-time data transmission to a remote server and synchronized image display on a monitoring website
chevron_right Technical Summary
Engineers built a low-cost automated plant watering system that uses temperature, humidity, soil moisture, light sensors, and a camera to decide when and how long to water, adjusting irrigation on the fly instead of running on a fixed schedule.
Abstract Preview
Original paper
Development of an Iot-Based Automated Plant Monitoring and Watering System Using Two-Input Sugeno Fuzzy Logic
Manual plant irrigation often leads to inefficient water usage and delayed responses to changing environmental conditions. This study aims to develop and implement an Internet of Things (IoT)-based...
open_in_new Read full abstractAbstract copyright held by the original publisher.
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