Precision agriculture, sometimes referred to as "smart farming," is a revolutionary approach to farming that incorporates cutting-edge technologies like big data analytics, drones, robotics, artificial intelligence (AI), and the Internet of Things (IoT). This thorough analysis explores the developments, uses, and difficulties of smart farming with the goal of offering a broad grasp of its potential to improve resource efficiency, sustainability, and production. The study investigates the application of predictive analytics in decision-making processes as well as the usage of smart sensors for real-time soil, crop health, and weather monitoring. It also emphasises the use of unmanned aerial vehicles (UAVs) and autonomous machines for accurate pest control, watering, and planting. Now withstanding its advantages, the assessment also discusses important obstacles like expensive implementation costs, complicated technology, and data security issues. This assessment seeks to direct future breakthroughs and promote the broad adoption of smart farming methods for a sustainable agricultural future by combining recent developments and pointing out research needs.
