Greg Deakin

<scp>OrchardQuant</scp> ‐ <scp>3D</scp> : combining drone and <scp>LiDAR</scp> to perform scalable <scp>3D</scp> phenotyping for characterising key canopy and floral traits in fruit orchards

Combining ultralow-altitude drone phenotyping with deep learning analytics to assess resistance and disease dynamics of Fusarium head blight in wheat

GSP-AI: An AI-Powered Platform for Identifying Key Growth Stages and the Vegetative-to-Reproductive Transition in Wheat Using Trilateral Drone Imagery and Meteorological Data

The Dissection of Nitrogen Response Traits Using Drone Phenotyping and Dynamic Phenotypic Analysis to Explore N Responsiveness and Associated Genetic Loci in Wheat

CropQuant-Air: an AI-powered system to enable phenotypic analysis of yield- and performance-related traits using wheat canopy imagery collected by low-cost drones

Correction for Morin et al., Genome sequence of the button mushroom <i>Agaricus bisporus</i> reveals mechanisms governing adaptation to a humic-rich ecological niche

Correction for Zhang et al., TRIM39 regulates cell cycle progression and DNA damage responses via stabilizing p21

Genome sequence of the button mushroom<i>Agaricus bisporus</i>reveals mechanisms governing adaptation to a humic-rich ecological niche