Agricultural research is vital for addressing the challenges posed by climate change and ensuring sustainable food production systems. Traditionally, field measurements for crop phenotyping have been labor-intensive, time-consuming, and costly. However, the integration of low-cost unmanned aerial vehicles (UAVs) is revolutionizing field research by offering efficient, accurate, and scalable alternatives to conventional agronomic methods. This chapter explores the evolution of UAV technology in agricultural research, focusing on its applications in crop phenotyping. UAVs equipped with advanced imaging technologies enable high-throughput phenotyping (HTP), capturing key traits such as canopy height, ground cover, and crop phenology with remarkable precision. The use of UAVs not only accelerates the collection of valuable data but also enhances the development and adoption of improved crop varieties and sustainable agronomic practices. By comparing UAV-derived data with traditional methods, this work demonstrates the effectiveness of drone-based techniques in measuring crucial crop traits. Key examples from cereals (wheat, oats, and barley) illustrate how UAVs enhance the monitoring of plant development, canopy height, and yield prediction. Additionally, this chapter addresses the current limitations and challenges associated with UAV adoption in agricultural research, including the need for expertise in data processing, the high cost of certain equipment, and regulatory concerns. This chapter concludes by presenting a low-cost, user-friendly protocol for integrating UAVs into crop phenotyping workflows. This protocol simplifies image collection, data analysis, and trait evaluation, making UAV technology more accessible to research teams worldwide. Ultimately, the adoption of UAVs in agricultural research offers a transformative solution to improve the efficiency and accuracy of field measurements, contributing to the development of more resilient and sustainable cropping systems.