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.
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System combines ESP32 and ESP32-CAM hardware to monitor temperature, humidity, soil moisture, and light while capturing plant images
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A zero-order Sugeno Fuzzy Logic algorithm uses soil moisture and light intensity as two inputs to calculate adaptive irrigation duration
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Outdoor testing confirmed successful real-time data transmission to a remote server and synchronized image display on a monitoring website
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