Farm Assistant - An AI Driven Crop Recommendation System Practice

This paper presents an AI-driven approach to enhancing agricultural productivity through a comprehensive crop recommendation system. The system integrates data from various sources, Nitrogen, Phosphorous and Potassium (NPK levels), humidity. By employing multi-label classification techniques, the system suggests optimal crops based on soil conditions, water availability, and climate patterns. Furthermore, the system continuously monitors plant growth and provides farmers with real-time insights for better decision-making. The ultimate goal of this research is to empower farmers with data-driven recommendations, improving both yield efficiency and market timing while ensuring environmental sustainability.