Automatic Rice Seed Inspection Using Hyper-Spectral Imaging (Newton Fund)

Project: Research

Project Details

StatusFinished
Effective start/end date15/11/1514/02/17

Funding

  • Royal Academy of Engineering RAE: £24,000.00

Research Output

Varietal classification of rice seeds using RGB and hyperspectral images

Fabiyi, S. D., Vu, H., Tachtatzis, C., Murray, P., Harle, D., Dao, T. K., Andonovic, I., Ren, J. & Marshall, S., 27 Jan 2020, In : IEEE Access. 8, p. 22493-22505 13 p.

Research output: Contribution to journalArticle

Open Access
File
  • 47 Downloads (Pure)

    Rice seed varietal purity inspection using hyperspectral imaging

    Hai, V., Tachtatzis, C., Murray, P., Harle, D., Dao, T. K., Le, T-L., Andonovic, I. & Marshall, S., 13 Oct 2016.

    Research output: Contribution to conferenceAbstract

    Open Access
    File
  • 229 Downloads (Pure)

    Spatial and spectral features utilization on a hyperspectral imaging system for rice seed varietal purity inspection

    Vu, H., Tachtatzis, C., Murray, P., Harle, D., Dao, T. K., Atkinson, R., Le, T-L., Andonovic, I. & Marshall, S., 30 Aug 2016, (Accepted/In press). 6 p.

    Research output: Contribution to conferencePaper

    Open Access
    File
  • 234 Downloads (Pure)

    Datasets

    RGB and VIS/NIR Hyperspectral Imaging Data for 90 Rice Seed Varieties

    Vu, H. (Creator), Tachtatzis, C. (Creator), Murray, P. (Creator), Harle, D. (Creator), Dao, T. (Creator), Andonovic, I. (Creator), Marshall, S. (Creator), Fabiyi, S. D. (Creator), 22 Jan 2020

    Dataset

    Activities

    • 1 Visiting an external academic institution

    MICA International Research Institute, Hanoi University of Science and Technology

    Christos Tachtatzis (Visiting researcher)
    14 Aug 201620 Aug 2016

    Activity: Visiting an external institution typesVisiting an external academic institution