Yun, Changho Kim, Hak-Jin Jeon, Chan-Woo Gang, Min-Seok 2025-09-23T03:01:56Z 2025-09-23T03:01:56Z 2025-09-16 2025-12 0168-1699 https://pubs.kist.re.kr/handle/201004/153220 Efficient headland turning is crucial for maximizing the productivity and accuracy of autonomous rice transplanters, especially in small-scale fields where frequent maneuvering is necessary. This study developed and experimentally validated a practical headland-turning strategy that enables rapid, continuous turns without requiring reverse maneuvers or vehicle stops. Two complementary techniques were employed: a dynamic waypoint adjustment using real-time circular regression and an experimentally validated lateral boundary offset (LBO) model. These were designed to reduce trajectory deviations during transitions between turning and straight-line motion. Field tests with a commercial autonomous rice transplanter demonstrated successful turns at various speeds, emphasizing the need to account for field-specific conditions such as surface irregularities caused by prior tillage. The results confirm the effectiveness of the proposed strategy in improving precision and efficiency, providing a strong basis for future advancements in autonomous transplanting systems. English Elsevier BV Quick turn headland-turning control strategy for autonomous rice transplanters Article 10.1016/j.compag.2025.110864 1 Computers and Electronics in Agriculture, v.239 Computers and Electronics in Agriculture 239 N scie scopus 001560829400004 2-s2.0-105014025038 Agriculture, Multidisciplinary Computer Science, Interdisciplinary Applications Agriculture Computer Science Article GLOBAL POSITIONING SYSTEM DESIGN Autonomous rice transplanter Headland-turning GNSS Paddy field Path planning Path tracking Waypoint switching