Summary
Ji Zhou is a Senior Group Leader and interdisciplinary AI-for-agriculture expert who builds end-to-end phenotyping platforms that bridge computer vision, machine learning and robotics to solve real-world crop research and breeding bottlenecks. With a PhD in computer science and a decade-plus career spanning academia and industry, he has led high-throughput projects from LiDAR-based field phenotyping and drone analytics to large-scale seed screening and IoT sensor networks (e.g., Phenospex, AirSurf, SeedGerm, CropQuant). He combines hands-on algorithm and software development with HPC deployment and close industry partnerships (Syngenta, BASF, Intel), and holds professorships and editorial roles across the UK and China. Notably, his work repeatedly translates methods from bioimage informatics into scalable field systems, enabling PxGxE modelling and ultra-scale yield prediction across diverse crops and environments.
8 years of coding experience
13 years of employment as a software developer
High school diploma General certificate of Chinese High School Education, High school diploma General certificate of Chinese High School Education at Shanghai Jianqing Experimental School
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of East Anglia
Bachelor of Engineering (BEng) Computer Controlling, Bachelor of Engineering (BEng) Computer Controlling at Shanghai University of Engineering Science
Chinese, English, Chinese, Japanese