Detection of sweetness level for fruits (watermelon) with machine learning

The inspection and grading of the watermelon are done manually but it is a tedious job and it is difficult for the graders to maintain constant vigilance. Thus, the image processing has widely been used for identification, detection, grading and quality evaluation in the agricultural field. The...

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書誌詳細
主要な著者: Wan Nazulan, Wan Nurul Suraya, Asnawi, Ani Liza, Mohd Ramli, Huda Adibah, Jusoh, Ahmad Zamani, Ibrahim, Siti Noorjannah, Mohamed Azmin, Nor Fadhillah
フォーマット: Conference or Workshop Item
言語:English
English
出版事項: IEEE 2020
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オンライン・アクセス:http://irep.iium.edu.my/86522/7/86522_Detection%20of%20Sweetness%20Level%20for%20Fruits%20_new.pdf
http://irep.iium.edu.my/86522/13/86522_Detection%20of%20Sweetness%20Level%20for%20Fruits_scopus.pdf
http://irep.iium.edu.my/86522/
https://ieeexplore.ieee.org/document/9289712
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