Author:
Percival D.,Anku K.,Langdon J.
Publisher
International Society for Horticultural Science (ISHS)
Reference13 articles.
1. Abbey, J., Percival, D., Asiedu, S.K., and Schilder, A. (2018). Susceptibility to Botrytis blight at different floral stages of wild blueberry phenotypes. Paper presented at: NABREW 2018 Conference. The University of Maine Cooperative Extension. North American Blueberry Research and Extension Workers Conference 18.
2. Abd-Elrahman, A., Britt, K., and Liu, T. (2021). Deep learning classification of high-resolution drone images using the ArcGIS Pro Software: FOR374/FR444, 10/2021. EDIS5 https://doi.org/10.32473/edis-fr444-2021.10/2021. EDIS
3. High-resolution airborne hyperspectral and thermal imagery for early detection of Verticillium wilt of olive using fluorescence, temperature and narrow-band spectral indices.;Calderón;Remote Sens. Environ.,2013
4. Assessment of UAV-onboard multispectral sensor for non-destructive site-specific rapeseed crop phenotype variable at different phenological stages and resolutions.;Hussain;Remote Sens.,2020
5. Seasonal growth dynamics and carbon allocation of the wild blueberry plant (Vaccinium angustifolium Ait.).;Kaur;Can. J. Plant Sci.,2012
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