Max Robotics — Global Service Robot Directory + US Certification

About

Qifeng Li is a pioneering researcher at the intersection of computer vision, sensor fusion, and precision agriculture. His work centers on developing intelligent imaging and measurement systems to solve critical challenges in animal husbandry and environmental perception. Li’s most impactful contribution is his comprehensive 2023 review on infrared and visible image fusion, which has garnered 165 citations and serves as a foundational resource for the field, addressing the limitations of single-sensor imaging in variable conditions. In precision livestock farming, he has made significant strides with his 2024 review on computer vision-based body dimension and weight measurement (45 citations), highlighting a shift from stressful manual methods to automated, non-contact phenotyping. Li’s practical innovations include an autonomous inspection robot for detecting dead hens in cage layer houses and the creation of the TIRPigEar dataset, which leverages thermal infrared imaging for pig ear detection—a novel approach that exploits the ear’s thermal characteristics for health monitoring. His work is notable for bridging the gap between advanced deep learning models and real-world agricultural applications, offering scalable solutions that improve animal welfare and farm efficiency.