Development of an End-to-End Solution for Small Farm Monitoring and Control

Smart farming's primary goal is to solve the numerous problems that conventional agriculture faces. These problems relate to precision, resource optimization, and cost reduction. Our project develops an IoT system to overcome some of these challenges by optimizing resource use, improving crop yields, enabling adaptive climate responses, facilitating remote management, and promoting sustainable farming practices. The system employs an ESP32 Wi-Fi Microcontroller as the base station, communicating with sensor and actuator nodes via LoRa technology to monitor and control greenhouse environments in real-time. This three-layered architecture includes a Node Layer that provides distributed sensors and actuators for local data collection and control, a Base Station Layer for managing data transfer between nodes and the central platform, and a Platform/Connectivity Layer for remote monitoring, data aggregation, and analysis. The platform provides farmers with real-time insights to optimize resource use and crop yields, even in remote areas with limited internet connectivity.