Daniel Cudjoe

NameDaniel Cudjoe
Job titlePhD Student
Email addressdaniel.cudjoe@rothamsted.ac.uk
DepartmentSustainable Soils and Crops
OfficeHarpenden

Research outputs

Modeling the spatial-spectral characteristics of plants for nutrient status identification using hyperspectral data and deep learning methods

Okyere, F., Cudjoe, D., Sadeghi-Tehran, P., Virlet, N., Riche, A. B., Castle, M., Greche, L., Simms, D., Mhada, M., Mohareb, F. and Hawkesford, M. J. 2023. Modeling the spatial-spectral characteristics of plants for nutrient status identification using hyperspectral data and deep learning methods. Frontiers in Plant Science. 14, p. 1209500. https://doi.org/10.3389/fpls.2023.1209500

Field phenotyping for African crops: overview and perspectives

Cudjoe, D., Virlet, N., Castle, M., Riche, A. B., Mhada, M., Waine, T. W., Mohareb, F. and Hawkesford, M. J. 2023. Field phenotyping for African crops: overview and perspectives . Frontiers in Plant Science. 14, p. 1219673. https://doi.org/10.3389/fpls.2023.1219673

Machine Learning Methods for Automatic Segmentation of Images of Field and Glasshouse Based Plants for High Throughput Phenotyping

Okyere, F., Cudjoe, D., Sadeghi-Tehran, P., Virlet, N., Riche, A. B., Castle, M., Greche, L., Mohareb, F., Simms, D. M., Mhada, M. and Hawkesford, M. J. 2023. Machine Learning Methods for Automatic Segmentation of Images of Field and Glasshouse Based Plants for High Throughput Phenotyping. Plants - Basel. 12 (10), p. 2035. https://doi.org/10.3390/plants12102035

Using proximal sensing parameters linked to the photosynthetic capacity to assess the nutritional status and yield potential in quinoa

Cudjoe, D., Okyere, F., Virlet, N., Castle, M., Buchner, P. H., Parmar, S., Sadeghi-Tehran, P., Riche, A. B., Sohail, Q., Mhada, M., Ghanem, M., Waine, T. W., Mohareb, F. and Hawkesford, M. J. 2023. Using proximal sensing parameters linked to the photosynthetic capacity to assess the nutritional status and yield potential in quinoa. Acta Horticulturae. 1360, pp. 373-379. https://doi.org/10.17660/ActaHortic.2023.1360.45

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