About

Weihong Ma is a pioneering researcher at the intersection of computer vision, agricultural robotics, and multi-sensor fusion, with a focus on transforming modern livestock farming and precision agriculture. Her most impactful work, an extensive review on infrared and visible image fusion technology (165 citations), establishes foundational methods for combining thermal and visual data to overcome limitations of single-sensor imaging—critical for applications in low-light or adverse weather conditions. Ma has made significant contributions to non-invasive livestock phenotyping, notably through a comprehensive review on computer vision-based measurement of body dimensions and weight (45 citations), which replaces stressful manual methods with automated, stress-free systems. She developed the TIRPigEar dataset, leveraging thermal infrared imaging for pig ear detection, and created an autonomous inspection robot for detecting dead laying hens in cage houses, directly addressing welfare and efficiency in poultry operations. Her recent work on orchard robotics introduces advanced control algorithms—including improved integral sliding mode and ant colony optimization—for precise trajectory tracking and path planning in complex agricultural environments. With a growing citation impact and a portfolio spanning from sensor fusion to field robotics, Ma is shaping the future of intelligent, data-driven agriculture.

Research Focus

Key Achievements

3
H-Index
6
Papers
235
Total Citations
39
Avg Citations/Paper
🏆 Most Cited Paper
Infrared and Visible Image Fusion Technology and Application: A Review
165 citations · 2023
📈 Most Prolific Year: 2024 (3 Papers)
🤝 Key Collaborators: 26
🏛 Institutions: National Engineering Research Center for Information Technology in Agriculture, Chongqing University of Science and Technology

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago