This project is based on the integration of the Greenhouse Monitoring System and Plant Disease Classification System. It includes a combination of a sensor-based system, which is a hardware system, and a machine learning part that helps to detect plant diseases and classify them. In the case of the hardware system, the DHT11 sensor, temperature sensor, and soil moisture sensor are combined with the Ardiuno microcontroller. The data will be captured in real-time and sent using a Wi-Fi module, which is the NodeMCU, and hosted by external cloud providers. This hardware system will act as a greenhouse monitoring system and will include components such as a fan and water pump, which will operate according to the conditions detected by the sensors. Sensor data will be displayed on a web platform. The web platform is created using HTML and PHP, with a MySQL database as the backend. This enables remote monitoring of the greenhouse environment. The fan and water pump are automatically regulated based on the sensor readings. This system is extended with a machine learning model that classifies plant diseases based on plant leaf images.