As the world population continues to grow, the demand for food is increasing at an unprecedented rate. However, traditional farming practices are not sustainable in the long run, as they rely heavily on chemical fertilizers, pesticides, and other harmful practices that damage the environment and reduce soil fertility. To address this challenge, sustainable farming practices are being developed, and one of the most promising approaches is AI and precision agriculture.
AI and precision agriculture involve the use of advanced technologies such as sensors, drones, and machine learning algorithms to optimize farming practices. These technologies enable farmers to monitor crop growth, soil moisture, and other environmental factors in real-time, allowing them to make data-driven decisions that maximize yields while minimizing waste and environmental damage.