Tony Pridmore
Publications by Year
Research Areas
Smart Agriculture and AI, Plant nutrient uptake and metabolism, Remote Sensing in Agriculture, Handwritten Text Recognition Techniques, Image Processing and 3D Reconstruction
Most-Cited Works
- → Plant Phenomics, From Sensors to Knowledge(2017)571 cited
- → British Machine Vision Conference 1999(2002)494 cited
- → Developing X-ray Computed Tomography to non-invasively image 3-D root systems architecture in soil(2011)445 cited
- → Colocalization of fluorescent markers in confocal microscope images of plant cells(2008)383 cited
- → Deep machine learning provides state-of-the-art performance in image-based plant phenotyping(2017)366 cited
- → Root gravitropism is regulated by a transient lateral auxin gradient controlled by a tipping-point mechanism(2012)360 cited
- → RooTrak: Automated Recovery of Three-Dimensional Plant Root Architecture in Soil from X-Ray Microcomputed Tomography Images Using Visual Tracking(2011)284 cited
- → RootNav: Navigating Images of Complex Root Architectures(2013)282 cited
- → Root hydrotropism is controlled via a cortex-specific growth mechanism(2017)252 cited
- → High-Throughput Quantification of Root Growth Using a Novel Image-Analysis Tool(2009)216 cited