JZ
Ji Zhou
Principal Investigator
National Institute of Agricultural Botany
I'm working on
8 months ago
Digital agriculture, AI/ML, phenotyping, genomics, IoT
About
Holds issued IP and leads AI-driven crop phenotyping at NIAB (UK), partnering with JIC, Rothamsted, Earlham and Université d’Angers. He created open-source platforms including AirMeasurer, CropQuant-3D and SeedGerm. EU and industry (Bayer/BASF) projects deploy UAV/LiDAR and IoT systems to link lab seed quality to field performance.
Partnering listings
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National Institute of Agricultural Botany
Dynamic phenotypic analysis platform for optimal crop trait measurement timing
A data-driven approach combining computer vision, machine learning, and time-series analysis to identify the optimal moment for measuring key agronomic traits. Uses multi-scale aerial phenotyping to generate developmenta...
TechnologyIn developmentUniversity
National Institute of Agricultural Botany
Advanced AI platform for plot segmentation in crop phenotyping
A cutting-edge AI solution combining supervised and unsupervised learning techniques to accurately segment agricultural plots from drone imagery, enhancing phenotyping processes for ultra-scale breeding programs.
TechnologyIn developmentUniversity
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