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Plant Phenomics (Washington, D.C.)|September 8, 2023
Standardizing and Centralizing Datasets for Efficient Training of Agricultural Deep Learning ModelsAmogh Joshi, Dario Guevara, Mason EarlesEnvironmental Science & Technology|October 5, 2011
Improving the environmental profile of wood panels via co-production of ethanol and acetic acidJ Mason Earles, Anthony Halog, Stephen ShalerFrontiers in Plant Science|May 2, 2022
Non-destructive Plant Biomass Monitoring With High Spatio-Temporal Resolution via Proximal RGB-D Imagery and End-to-End Deep LearningNicolas Buxbaum, Johann Heinrich Lieth, Mason EarlesFood Research International (Ottawa, Ont.)|January 24, 2025
Deep learning enabled rapid classification of yeast species in food by imaging of yeast microcoloniesHyeon Woo Park, J Mason Earles, Nitin NitinPlant, Cell & Environment|May 10, 2018
Insight into the physiological role of water absorption via the leaf surface from a rehydration kinetics perspectivePaula Guzmán-Delgado, J Mason Earles, Maciej A ZwienieckiEcological Applications : a Publication of the Ecological Society of America|July 4, 2014
Wildfire and drought dynamics destabilize carbon stores of fire-suppressed forestsJ Mason Earles, Malcolm P North, Matthew D HurteauApplied and Environmental Microbiology|December 19, 2022
Accelerating the Detection of Bacteria in Food Using Artificial Intelligence and Optical ImagingLuyao Ma, Jiyoon Yi, Nicharee Wisuthiphaet, et al.Water Research|June 30, 2023
AI-enabled biosensing for rapid pathogen detection: From liquid food to agricultural waterJiyoon Yi, Nicharee Wisuthiphaet, Pranav Raja, et al.Frontiers in Artificial Intelligence|August 28, 2025
Enhancing AI microscopy for foodborne bacterial classification using adversarial domain adaptation to address optical and biological variabilitySiddhartha Bhattacharya, Aarham Wasit, J Mason Earles, et al.Plos One|December 3, 2015
Frost Induces Respiration and Accelerates Carbon Depletion in TreesOr Sperling, J Mason Earles, Francesca Secchi, et al.Pageof 4