Development of fig fruit ripeness classification using convolutional neural network / Siti Juliana Abu Bakar ... [et al.]
This study presents the design and evaluation of a deep convolutional neural network (CNN) model for accurately classifying fig ripeness stages. Traditionally, fruit ripeness classification has been conducted manually, which presents several drawbacks, including heavy reliance on human labor and inc...
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格式: | Article |
語言: | English |
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Universiti Teknologi MARA Cawangan Pulau Pinang
2024
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在線閱讀: | https://ir.uitm.edu.my/id/eprint/104957/1/104957.pdf https://ir.uitm.edu.my/id/eprint/104957/ https://uppp.uitm.edu.my/ |
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