RowDetr: End-to-End Row Detection Using Polynomials

The application of autonomous robots in high-throughput phenotyping has experienced a significant surge in recent years, driven by the need for precision and efficiency in agricultural tasks [1]. These advanced robotic systems are transforming the field by automating the complex task of phenotyping with unparalleled accuracy. While autonomous solutions in agriculture have been explored for decades [2], recent advancements have pushed the boundaries of this technology, particularly in addressing challenges related to GPS-denied navigation in dense crop environments. For nearly two decades, GPS-based autonomy has been the cornerstone of agricultural robotics. Studies such as [3] and [4] have showcased the use of RTK and GPS-based systems to guide tractors and harvesters with high precision. The GPS coordinates of rows can either be determined during planting or estimated using systems like [5, 6], which provide accurate crop and row location data.