Graduate Student | Xihua University | China
Mr. Jiahao Luo is a graduate student at Xihua University specializing in multi-machine collaborative scheduling and path planning for intelligent agricultural mechanization. He holds a strong academic background in optimization algorithms and their applications to complex agricultural systems, focusing on methodological innovation and practical implementation. His professional experience includes leading research on traversal path planning and collaborative scheduling for corn harvesting and transportation in challenging hilly terrains, integrating Dijkstra’s algorithm with improved Harris Hawk Optimization to enhance efficiency and safety. Jiahao has published six SCI-indexed papers, including one in a Q1 journal, three in Q2, and two in Q3, showcasing a consistent record of impactful contributions to high-quality research. His work advances hybrid algorithms that combine evolutionary computation with local search, addressing real-world challenges such as terrain complexity, dynamic obstacles, and operational coordination, ultimately improving mechanization in agriculture. In addition to his research output, Jiahao has contributed to three consultancy or industry projects and holds three patents under process, reflecting the translational value of his work. His efforts significantly bridge the gap between theory and application, supporting sustainable, technology-driven farming practices with both academic and industrial relevance.
Profile: Scopus
Featured Publication
Luo J.*, Intelligent Path Tracking for Single-Track Agricultural Machinery Based on Variable Universe Fuzzy Control and PSO-SVR Steering Compensation. Agriculture Switzerland, 2025.
