The conventional approach to gathering field phenotypic data for oil crops is characterized by its time-consuming and labor-intensive nature, resulting in low work efficiency. Conversely, low-altitude unmanned aerial vehicle (UAV) remote sensing offers numerous advantages, including rapidity, convenience, low cost, and ease of manipulation. This technology enhances the precision of morphological parameters and physiological and biochemical indicators of oil crops measured by remote sensing in small- and medium-scale areas, thereby enabling the initial attainment of field growth information for oil crops. Furthermore, it facilitates the swift acquisition, processing, and analysis of such data. This study provided a comprehensive overview of the advancements made in domestic and foreign low-altitude UAV remote sensing for oil crops, including rape, soybean, peanut, sunflower, and oil palm, and it introduced the prevailing UAV flight platforms, airborne sensors, and operating procedures, and it focused on combing the application of UAV remote sensing in morphological analysis, detection of physiological and biochemical indicators, yield estimation, and monitoring of adversity stress in recent years. Furthermore, it identified the limitations and future prospects of low-altitude UAV remote sensing in the domain of oil crop monitoring, aiming to provide a theoretical basis for the subsequent development and accurate implementation of smart agriculture.

Keywords： unmanned aerial vehicle ; low-altitude remote sensing ; oil crops ; phenotypic analysis ; growth monitoring