PRECISION AGRICULTURE AND SMART FARMING: DIGITAL TECHNOLOGIES FOR SUSTAINABLE CROP PRODUCTION

Precision agriculture uses data, digital technologies, and site-specific management to improve agricultural decision-making. Conventional farming practices often apply inputs uniformly across fields, even though soil properties, moisture levels, crop growth, and pest pressure may vary considerably. Precision agriculture seeks to identify these differences and manage resources more effectively. This paper reviews the applications of satellite imagery, geographic information systems, soil sensors, drones, automated machinery, and data analytics in sustainable crop production. A narrative literature review approach is used to synthesize established knowledge about precision farming and its potential environmental, economic, and agronomic benefits. The review examines how digital tools may support irrigation scheduling, fertilizer management, pest monitoring, crop assessment, and yield estimation. It also discusses barriers including equipment costs, connectivity, technical skills, data privacy, and unequal access to technology. The findings suggest that precision agriculture can improve resource-use efficiency when systems are appropriately designed, maintained, and interpreted. However, technology alone does not guarantee higher yields or reduced environmental impacts. Successful implementation requires reliable data, agronomic expertise, farmer training, and evaluation under local conditions. The paper concludes that accessible and context-appropriate precision farming can contribute to more efficient and environmentally responsible agriculture.