Academic Journal of Computing & Information Science, 2025, 8(7); doi: 10.25236/AJCIS.2025.080702.
Li Liu1, Qun Gao1, Jing Zhou1
1Intelligent Transportation Modern Industry College, Anhui Sanlian University, Hefei, China
Seed germination rate is a crucial factor affecting crop yield. To improve the efficiency and reduce the cost of seed germination detection, this study focuses on rice seeds and proposes an image processing-based method for rice seed germination recognition. The method separates seeds from sprouts and radicles through image segmentation and determines germination status based on the positional and area relationships before and after germination. The results show that the proposed method achieves an average germination recognition accuracy of over 98.5% for rice seeds within 0–7 days, meeting practical application requirements.
Image Segmentation, Morphological Operation, Rice Seed Germination, Germination Recognition
Li Liu, Qun Gao, Jing Zhou. Research on High-Efficiency Rice Germination Recognition Algorithm Based on Image Processing. Academic Journal of Computing & Information Science (2025), Vol. 8, Issue 7: 11-16. https://doi.org/10.25236/AJCIS.2025.080702.
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