SmartPot is a software system designed for managing and automating hydroponic gardens, with a focus on tomato and lettuce crops. By integrating Internet of Things (IoT) technologies, SmartPot provides a comprehensive solution for optimizing plant care, minimizing manual intervention, and ensuring sustainable agricultural practices.

• Advanced Simulation: Using the Wokwi platform to simulate sensors and actuators, allowing for precise development and testing without the need for physical hardware.
• Complete Software Solution: Development of a system that includes a database, efficient backend, intuitive frontend, data analytics capabilities, and process automation systems.
• Real-time Monitoring: Virtual sensors measure critical parameters such as humidity, light, temperature, pH, and nutrient levels.
• Automated Control: Algorithms adjust cultivation conditions based on sensor data and crop-specific standards, ensuring optimal plant growth.
• Customizable Prototype: Focused on hydroponic gardens for tomatoes and lettuce, with the flexibility to add or remove sensors and actuators as needed.

• Real-time Control: Monitor and control environmental conditions, irrigation, and lighting.
• API Integration: Real-time access to data and control via a custom API.
• User Interface: An intuitive web portal to manage and visualize the garden's status, sensor data, and automated processes.
• Automation: Control of irrigation, lighting, and other environmental factors based on sensor readings.
• Data Analysis: Historical data tracking with reports and analytics to optimize plant growth.

• IoT Integration: Simulation of hardware using Wokwi with virtual sensors (temperature, humidity, pH, light, and nutrient levels). The ESP32 microcontroller is programmed with MicroPython to interact with the virtual sensors and send real-time data to the backend.
• Backend: A Java-based Spring Boot API developed with Maven and Java 17, using Spring Security and JWT for authentication. The backend facilitates communication between the IoT system (simulated in Wokwi) and the user portal, and processes the sensor data from the ESP32.
• Frontend: A dynamic web portal built with React, Vite, and SWC for fast development and efficient bundling. The frontend allows for easy monitoring, control of the system, and displays real-time data from the IoT sensors. The portal interacts with the backend via a RESTful API.
• Database: A relational database (e.g., H2 or MySQL) is used for storing and managing sensor data, allowing for analytical reports and data visualization.
• API: A RESTful API provides real-time communication between the IoT ecosystem and the management portal, with endpoints secured using JWT tokens. This API handles both data retrieval and device control commands from the frontend.