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Classification of Watermelon Seeds Using Morphological Patterns of X-ray Imaging: A Comparison of Conventional Machine Learning and Deep Learning

In this study, conventional machine learning and deep leaning approaches were evaluated using X-ray imaging techniques for investigating the internal parameters (endosperm and air space) of three cultivars of watermelon seed. In the conventional machine learning, six types of image features were ext...

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Bibliografski detalji
Izdano u:Sensors (Basel)
Glavni autori: Ahmed, Mohammed Raju, Yasmin, Jannat, Park, Eunsung, Kim, Geonwoo, Kim, Moon S., Wakholi, Collins, Mo, Changyeun, Cho, Byoung-Kwan
Format: Artigo
Jezik:Inglês
Izdano: MDPI 2020
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC7731397/
https://ncbi.nlm.nih.gov/pubmed/33255997
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20236753
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