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Deep learning paradigms for rice seed classification: a comparative study and novel architectures
Automated classification of rice seeds is essential for quality assessment and sorting in modern agriculture. This paper presents a comprehensive study on rice seed classification utilizing deep learning techniques, particularly Convolutional Neural Networks (CNNs). We reviewed existing research and
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