Jiawei Hua

Papers

Total Citations

H-Index

About

Jiawei Hua is a researcher at the forefront of agricultural robotics, specializing in computer vision and precision weeding technologies. His work addresses critical challenges in organic farming by developing intelligent systems that can accurately detect and manage weeds in complex field environments. Hua’s major contributions include a novel vision-based navigation line extraction method that combines crop row detection with the RANSAC algorithm, enabling agricultural robots to navigate autonomously for spraying and weeding operations—even under challenging lighting conditions. This foundational work has garnered 6 citations. More recently, Hua advanced the field with a static laser weeding system that integrates an improved YOLOv8 object detection model with image fusion techniques. This innovation significantly boosts weed detection accuracy in complex backgrounds, directly addressing a key bottleneck in high-precision laser weed control. With 4 citations already, this work demonstrates his growing impact. Hua’s research is pivotal for reducing reliance on chemical herbicides, offering sustainable solutions that enhance both the efficiency and environmental friendliness of modern agriculture.