FarmTech: IoT-Based Agriculture Application

IoT in agriculture focuses on using sensors to analyze the soil conditions like temperature, nutrient levels, and pH, in real-time. The collected data is transmitted through IoT connectivity for analysis. The project uses machine learning algorithms to interpret the sensor data, providing insights into the best crop choices based on certain soil conditions. A user-friendly interface is developed to empower farmers with accessible data interpretation and crop recommendations. With a seamless interface it can be easily used by farmers. Through this approach, the project aims to enhance agricultural efficiency by enabling informed decision-making, optimizing crop planning, and promoting sustainable farming practices for a more resilient agricultural ecosystem