Decision Tree Method for Automation of Plant Sprinklers and Monitoring Based On Soil Moisture

Watering the plants is an important part of plant care, but due to our busy schedules, we frequently forget do it. It can be caused by a number variables, including weather, in addition human irresponsibility. The goal this research develop device that automatically water and monitor based on soil moisture. Automatic sprinklers use NodeMCU ESP8266 Telegram bots employ decision tree approach. C 4.5 algorithm used Decision Tree approach choose microcontroller's course action. value various case studies utilized study determined using 4.5. Arduino IDE, Fritzing, Visual Studio Code were tools design produce tool. Additionally, it configures universal bot library. website setting for monitoring employs native PHP language, configuration telegram uses general telegraph end result automatic sprinkler operates moisture activates pump when level drops below threshold 50%. When reading exceeds 75%, will then turn off. outcomes investigation also comprise websites tracking levels.