Pan Pan

Agricultural Information Institute, Alibaba Group (China)

Papers

Total Citations

H-Index

About

Pan Pan’s research bridges artificial intelligence, agriculture, and interactive media, with a focus on deploying deep learning for real-world impact. Their most cited work introduces a lightweight cotton disease detection model optimized for resource-constrained devices, enabling real-time diagnosis in natural environments—a critical advancement for safeguarding cotton quality and yield. This paper, garnering 20 citations, underscores Pan’s contribution to precision agriculture, where efficient AI models address pressing challenges in crop management. Beyond agriculture, Pan explores virtual character generation and animation for e-commerce live streaming, a system that enhances digital interaction and has attracted 11 citations. Earlier work includes path planning for soccer robots using an improved ant colony algorithm, reflecting a foundation in robotics and optimization. Pan’s research demonstrates a versatile ability to adapt AI techniques across domains, from agricultural sustainability to virtual commerce, with a clear emphasis on practical, deployable solutions. Their work is particularly relevant for students and researchers interested in edge AI, agricultural technology, and human-computer interaction.