Search Results - "Mukasa, Perez"

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  1. 1

    Near-infrared hyperspectral imaging for online measurement of the viability detection of naturally aged watermelon seeds by Yasmin, Jannat, Ahmed, Mohammed Raju, Wakholi, Collins, Lohumi, Santosh, Mukasa, Perez, Kim, Geonwoo, Kim, Juntae, Lee, Hoonsoo, Cho, Byoung-Kwan

    Published in Frontiers in plant science (07-11-2022)
    “…The viability status of seeds before sowing is important to farmers as it allows them to make yield predictions. Monitoring the seed quality in a rapid and…”
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    Journal Article
  2. 2

    Determination of viability of Retinispora (Hinoki cypress) seeds using FT-NIR spectroscopy by Mukasa, Perez, Wakholi, Collins, Mo, Changyeun, Oh, Mirae, Joo, Hye-Joon, Suh, Hyun Kwon, Cho, Byoung-Kwan

    Published in Infrared physics & technology (01-05-2019)
    “…•FTNIR and chemometrics to detect natural viability of Hinoki seeds was investigated.•A model with minimum variables for viability detection was constructed…”
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    Journal Article
  3. 3

    Online Application of a Hyperspectral Imaging System for the Sorting of Adulterated Almonds by Faqeerzada, Mohammad Akbar, Perez, Mukasa, Lohumi, Santosh, Lee, Hoonsoo, Kim, Geonwoo, Wakholi, Collins, Joshi, Rahul, Cho, Byoung-Kwan

    Published in Applied sciences (01-09-2020)
    “…Almonds are nutrient-rich nuts. Due to their high level of consumption and relatively high price, their production is targeted for illegal practices, with the…”
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    Journal Article
  4. 4

    Near-Infrared Hyperspectral Imaging (NIR-HSI) for Nondestructive Prediction of Anthocyanins Content in Black Rice Seeds by Amanah, Hanim Z., Wakholi, Collins, Perez, Mukasa, Faqeerzada, Mohammad Akbar, Tunny, Salma Sultana, Masithoh, Rudiati Evi, Choung, Myoung-Gun, Kim, Kyung-Hwan, Lee, Wang-Hee, Cho, Byoung-Kwan

    Published in Applied sciences (01-06-2021)
    “…Anthocyanins are an important micro-component that contributes to the quality factors and health benefits of black rice. Anthocyanins concentration and…”
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    Journal Article
  5. 5

    Classification of pepper seed quality based on internal structure using X-ray CT imaging by Raju Ahmed, Mohammed, Yasmin, Jannat, Wakholi, Collins, Mukasa, Perez, Cho, Byoung-Kwan

    Published in Computers and electronics in agriculture (01-12-2020)
    “…[Display omitted] •X-ray CT imaging was adopted to investigate internal condition of seed.•The pattern of air space in nonviable and abnormal seeds was random…”
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    Journal Article
  6. 6

    Deep learning application for real-time gravity-assisted seed conveying system for watermelon seeds purity sorting by Mukasa, Perez, Semyalo, Dennis, Faqeerzada, Mohammad Akbar, Kim, Hangi, Min, Hyun Jung, Kim, Moon S., Baek, Insuck, Kabenge, Isa, Cho, Byoung-Kwan

    Published in Computers and electronics in agriculture (01-06-2024)
    “…•Real-time Gravity-feed seed sorting-system via deep-learning and synced ejection.•Among YOLOv5-variants, YOLOv5n discriminated seed-ploidy with higher mAP at…”
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  7. 7

    Nondestructive discrimination of seedless from seeded watermelon seeds by using multivariate and deep learning image analysis by Mukasa, Perez, Wakholi, Collins, Akbar Faqeerzada, Mohammad, Amanah, Hanim Z., Kim, Hangi, Joshi, Rahul, Suh, Hyun-Kwon, Kim, Geonwoo, Lee, Hoonsoo, Kim, Moon S., Baek, Insuck, Cho, Byoung-Kwan

    Published in Computers and electronics in agriculture (01-03-2022)
    “…•Multivariate and deep learning techniques were used to discriminate seedless watermelon from seeded seeds.•The performance seed ploidy-class discrimination of…”
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    Journal Article
  8. 8