Measuring the Ripeness of Fruit with Hyperspectral Imaging and Deep Learning
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Publisher
IEEE
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http://xplorestaging.ieee.org/ielx7/9533266/9533267/09533728.pdf?arnumber=9533728
Cited by 19 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
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2. Maturity grading of jujube for industrial applications harnessing deep learning;Engineering Computations;2024-06-18
3. Non-destructive method for assessing fruit quality using modified depthwise separable convolutions on hyperspectral images;Sensing for Agriculture and Food Quality and Safety XVI;2024-06-06
4. Advancements in machine visions for fruit sorting and grading: A bibliometric analysis, systematic review, and future research directions;Journal of Agriculture and Food Research;2024-06
5. Development of Multimodal Fusion Technology for Tomato Maturity Assessment;Sensors;2024-04-11
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