Weichen Hu

National Engineering Research Center for Information Technology in Agriculture

Papers

Total Citations

H-Index

About

Weichen Hu is a researcher advancing the intersection of computer vision and sustainable aquaculture. His work centers on developing intelligent detection systems for precision aquaculture, with a primary focus on automating environmental monitoring and animal welfare assessment in recirculating aquaculture systems (RAS). Hu’s most cited contribution, “DF-DETR: Dead fish-detection transformer in recirculating aquaculture system” (2024), introduces a novel transformer-based architecture that achieves real-time, high-accuracy detection of deceased fish—a critical task for maintaining water quality and preventing disease outbreaks in closed-loop fish farms. This work, garnering 10 citations in its first year, demonstrates Hu’s ability to adapt state-of-the-art deep learning models to practical, high-stakes agricultural challenges. By addressing a specific, industry-relevant problem with a custom DETR (DEtection TRansformer) variant, Hu’s research not only reduces labor costs and improves response times but also sets a methodological precedent for applying transformer networks to other underwater or low-visibility detection tasks. His contributions are particularly valuable for researchers and engineers working on automated monitoring in controlled-environment agriculture, where reliable, non-invasive sensing is key to scalability and sustainability.