Develop a Smart Automated Irrigation System with Sensor and Weather Data Integration

We are seeking a skilled developer to build a smart irrigation system designed to automatically water plants based on real-time soil moisture levels and external weather data. The system should integrate soil moisture sensors to monitor plant needs and connect to a weather API to gather forecast information, such as rainfall predictions and temperature. The core functionality includes:  Reading data from soil moisture sensors.  Fetching and processing weather data from a reliable API.  Implementing logic to determine optimal watering schedules, considering both current soil conditions and upcoming weather events.  Controlling a watering mechanism (e.g., Pumps or valves) to deliver water as needed.  The ideal candidate will have experience with embedded systems, IoT development, and integrating hardware with software solutions. Expertise in programming languages suitable for microcontrollers and data processing is essential. The project aims to create an efficient and autonomous irrigation solution.