Artificial Intelligence (AI) is playing a vital role in modern agriculture by improving soil health monitoring and enabling early detection of crop diseases. Through the integration of technologies like machine learning, computer vision, and IoT, AI systems collect and analyze data from sensors, drones, and satellite imagery to assess critical soil parameters such as nutrient content, moisture levels, and pH. These insights help identify plant stress, infections, or nutrient deficiencies at an early stage, allowing farmers to take timely corrective actions. AI also optimizes the use of fertilizers and pesticides, leading to cost savings and reduced environmental impact. By enhancing decision-making and resource management, AI contributes to increased crop yield, improved quality, and greater sustainability in agricultural practices.
