Abstract
At a high level, the Smart Farming Robot for detecting environmental conditions in a greenhouse embodies a pioneering solution merging robotics and agricultural technology. This innovative system integrates advanced sensors to meticulously monitor vital parameters within the greenhouse environment, including temperature, humidity, soil moisture, light intensity, and air quality. Through seamless data collection and analysis facilitated by Raspberry Pi microcontroller technology, the robot autonomously navigates the greenhouse, continuously assessing conditions crucial for optimal plant growth. At an intermediate level, the system orchestrates a symphony of sensor data acquisition, processing algorithms, and navigational control mechanisms, all orchestrated to ensure real-time detection and response to deviations from ideal environmental conditions. Delving deeper, the system architecture encompasses intricacies of sensor interfacing, data processing, and algorithmic decision-making, harmonizing to deliver actionable insights for precision agriculture practices. Keywords- Raspberry Pico
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