AgroMitra AI: An AI-Based Smart Farming System for Soil Nutrient Analysis

Agriculture plays a vital role in sustaining the global economy and food supply. However, improper soil nutrient management leads to reduced crop yield and inefficient fertilizer usage. This paper presents the design and implementation of an AgroMitra AI: An AI-Based Smart Farming System for Soil Nutrient Analysis. The system utilizes sensors to measure key soil parameters such as nitrogen (N), phosphorus (P), potassium (K), moisture, temperature, and pH. The collected data is processed using an AI model to predict soil nutrient levels and recommend suitable fertilizers based on crop type. The proposed system integrates ESP32 for real-time data acquisition and wireless communication with a mobile application. Experimental results show improved accuracy in nutrient estimation and optimized fertilizer usage. The system provides a cost-effective and scalable solution for precision agriculture.