K
Kerry B. Walsh
Researcher at Central Queensland University
Publications - 212
Citations - 6789
Kerry B. Walsh is an academic researcher from Central Queensland University. The author has contributed to research in topics: Partial least squares regression & Population. The author has an hindex of 42, co-authored 196 publications receiving 5282 citations. Previous affiliations of Kerry B. Walsh include University of Queensland & Queen's University.
Papers
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Deep learning – Method overview and review of use for fruit detection and yield estimation
TL;DR: A review of developments in the rapidly developing field of deep learning is presented, with emphasis on practical aspects for application of deeplearning models for the task of fruit detection and localisation, in support of tree crop load estimation.
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Natural product-derived phytochemicals as potential agents against coronaviruses: A review.
Janice S. Mani,Joel B. Johnson,Jason C. Steel,Daniel A. Broszczak,Paul M. Neilsen,Kerry B. Walsh,Mani Naiker +6 more
TL;DR: It was noted that the most promising small molecules identified as coronavirus inhibitors contained a conjugated fused ring structure with the majority being classified as being polyphenols.
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Deep learning for real-time fruit detection and orchard fruit load estimation: benchmarking of ‘MangoYOLO’
TL;DR: The performance of six existing deep learning architectures were compared for the task of detection of mango fruit in images of tree canopies and a new architecture was developed, termed ‘MangoYOLO’, which outperformed other models in processing of full images, requiring just 70 ms per image.
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Short-Wavelength Near-Infrared Spectra of Sucrose, Glucose, and Fructose with Respect to Sugar Concentration and Temperature
TL;DR: Short-wavelength near-infrared (SW-NIR) spectra of aqueous solutions of sucrose, d-glucose, and d-fructose were monitored with respect to change in temperature and sugar concentration and the major spectral effect of decreased temperature or increased sugar concentration was a decrease in absorption and an increase in absorbance.
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Visible-NIR ‘point’ spectroscopy in postharvest fruit and vegetable assessment: The science behind three decades of commercial use
TL;DR: This review focusses to key issues relevant to the widespread implementation of Vis-NIR technology in the fruit sector through comparison to techniques in commercial use, with focus to wavelength region, optical geometry, experimental design, and validation procedures.