Leilei He
Papers
5
Total Citations
90
H-Index
4
About
Leilei He is a pioneering agricultural robotics researcher whose work focuses on automating precision orchard management, particularly for kiwifruit cultivation. His core research areas include robotic pollination, fruit detection and localization, and digital twin applications in agriculture. He has made significant contributions by developing novel robotic systems that address the labor-intensive tasks of kiwifruit flower pollination and fruit thinning. His most impactful work, "A novel pollination robot for kiwifruit flower based on preferential flowers selection and precisely target" (2023), has garnered 50 citations, demonstrating its influence in the field. He advanced this technology with a multinozzle targeting system using air-liquid dual-flow spraying (2025), further improving efficiency for clustered flowers. His improved binocular localization method using YOLOv5x for robotic picking (2024, 25 citations) enhances fruit detection accuracy in orchard environments. He also introduced a growth characteristics-based multi-class bud detection algorithm with overlap-partitioning for robotic thinning (2024). His forward-looking work on digital twins for orchard management (2025) explores opportunities and challenges in integrating virtual modeling with physical orchard systems. Through these innovations, He is driving the transformation of traditional horticulture toward intelligent, automated precision agriculture.
Research Focus
Key Achievements
Top Papers
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