Hasil Pencarian - Kioumars Ghamkhar

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  1. 1
    Editorial: Convolutional neural networks and deep learning for crop improvement and production

    Editorial: Convolutional neural networks and deep learning for crop improvement and production oleh Wanneng Yang, Gregorio Egea, Kioumars Ghamkhar

    Diterbitkan 2022-11-01
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  2. 2
    Predicting the quality of ryegrass using hyperspectral imaging

    Predicting the quality of ryegrass using hyperspectral imaging oleh Paul R. Shorten, Shane R. Leath, Jana Schmidt, Kioumars Ghamkhar

    Diterbitkan 2019-06-01
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  3. 3
    Editorial: Spectroscopy for crop and product phenotyping

    Editorial: Spectroscopy for crop and product phenotyping oleh Ruslan Kalendar, Ruslan Kalendar, Kioumars Ghamkhar, Pietro Franceschi, Marcos Egea-Cortines

    Diterbitkan 2022-11-01
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  4. 4
    Prospects for Trifolium Improvement Through Germplasm Characterisation and Pre-breeding in New Zealand and Beyond

    Prospects for Trifolium Improvement Through Germplasm Characterisation and Pre-breeding in New Zealand and Beyond oleh Lucy M. Egan, Lucy M. Egan, Rainer W. Hofmann, Kioumars Ghamkhar, Valerio Hoyos-Villegas

    Diterbitkan 2021-06-01
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  5. 5
    Identification of Weeds Based on Hyperspectral Imaging and Machine Learning

    Identification of Weeds Based on Hyperspectral Imaging and Machine Learning oleh Yanjie Li, Mahmoud Al-Sarayreh, Kenji Irie, Deborah Hackell, Graeme Bourdot, Marlon M. Reis, Kioumars Ghamkhar

    Diterbitkan 2021-01-01
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  6. 6
    Editorial: Phenotyping; From Plant, to Data, to Impact and Highlights of the International Plant Phenotyping Symposium - IPPS 2018

    Editorial: Phenotyping; From Plant, to Data, to Impact and Highlights of the International Plant Phenotyping Symposium - IPPS 2018 oleh Cyril Pommier, Cyril Pommier, Trevor Garnett, Carolyn J. Lawrence-Dill, Tony Pridmore, Michelle Watt, Roland Pieruschka, Kioumars Ghamkhar

    Diterbitkan 2020-12-01
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  7. 7
    Assessment of Mixed Sward Using Context Sensitive Convolutional Neural Networks

    Assessment of Mixed Sward Using Context Sensitive Convolutional Neural Networks oleh Christopher J. Bateman, Jaco Fourie, Jeffrey Hsiao, Kenji Irie, Angus Heslop, Anthony Hilditch, Michael Hagedorn, Bruce Jessep, Steve Gebbie, Kioumars Ghamkhar

    Diterbitkan 2020-02-01
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  8. 8
    An improved reference genome for Trifolium subterraneum L. provides insight into molecular diversity and intra-specific phylogeny

    An improved reference genome for Trifolium subterraneum L. provides insight into molecular diversity and intra-specific phylogeny oleh Kenta Shirasawa, Roger Moraga, Roger Moraga, Andrea Ghelfi, Andrea Ghelfi, Hideki Hirakawa, Hideki Nagasaki, Kioumars Ghamkhar, Brent A. Barrett, Andrew G. Griffiths, Sachiko N. Isobe

    Diterbitkan 2023-02-01
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  9. 9
    Real-time, non-destructive and in-field foliage yield and growth rate measurement in perennial ryegrass (Lolium perenne L.)

    Real-time, non-destructive and in-field foliage yield and growth rate measurement in perennial ryegrass (Lolium perenne L.) oleh Kioumars Ghamkhar, Kenji Irie, Michael Hagedorn, Jeffrey Hsiao, Jaco Fourie, Steve Gebbie, Valerio Hoyos-Villegas, Richard George, Alan Stewart, Courtney Inch, Armin Werner, Brent Barrett

    Diterbitkan 2019-07-01
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  10. 10
    Deterministic and stochastic modelling of impacts from genomic selection and phenomics on genetic gain for perennial ryegrass dry matter yield

    Deterministic and stochastic modelling of impacts from genomic selection and phenomics on genetic gain for perennial ryegrass dry matter yield oleh M. Z. Z. Jahufer, Sai Krishna Arojju, Marty J. Faville, Kioumars Ghamkhar, Dongwen Luo, Vivi Arief, Wen-Hsi Yang, Mingzhu Sun, Ian H. DeLacy, Andrew G. Griffiths, Colin Eady, Will Clayton, Alan V. Stewart, Richard M. George, Valerio Hoyos-Villegas, Kaye E. Basford, Brent Barrett

    Diterbitkan 2021-06-01
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