With the rise of smart homes and IoT technology, the demand for affordable and modular automation systems for private indoor cultivation has grown. This thesis presents the design and implementation of a distributed cultivation system based on ESP32 microcontrollers, capable of controlling lighting, ventilation, and irrigation. The system integrates voice interaction via Amazon Alexa and a graphical web interface through AWS services, enabling users to monitor and regulate climate conditions in real time. The main contribution of this work is a cost-effective, self-healing mesh network architecture with voice-controlled automation and secure cloud communication. Unlike previous works, this system supports interaction via both voice and GUI and enables fault tolerance through dynamic root node reassignment. Latency measurements showed that average command response times were 1.2 seconds for Alexa interaction and 0.7 seconds for web interface control, which are within acceptable limits for home automation. The thesis demonstrates that such systems can be implemented and scalable with cloud services, providing a foundation for further development in smart indoor farming.