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Full-Text Articles in Agriculture
Automatic Classification Of Banana Ripeness Based On Deep Learning, Wang Ling-Min, Jiang Yu
Automatic Classification Of Banana Ripeness Based On Deep Learning, Wang Ling-Min, Jiang Yu
Food and Machinery
Objective: To classify banana ripeness quickly and accurately. Methods: Collect the bananas images of different maturity and establish gallery, using a variety of different neural networks as a classifier, banana feature extracting by migration study classifying banana six maturity level, access to the most suitable for banana maturity classification network model, network model, based on the improved and easily banana maturity real-time detection interface design, Finally, the feasibility and practicability of the model were verified. Results: AlexNet model was most suitable for banana maturity classification with the highest accuracy of 95.56%. AlexNet model was improved by modifying …
Research On Tomato Maturity Detection Method Based On Machine Vision And Electronic Nose Fusion, Wang Jun-Ping, Xu Gang
Research On Tomato Maturity Detection Method Based On Machine Vision And Electronic Nose Fusion, Wang Jun-Ping, Xu Gang
Food and Machinery
Objective:To explore the application ability of machine vision and electronic nose fusion method in fruit and vegetable maturity detection, and realize the detection of different maturity of tomato.Methods:Based on machine vision and electronic nose acquisition system, a tomato maturity detection method based on multi-source information fusion was proposed. Based on 6 color features screened by machine vision and 10 odor features screened by electronic nose, the least squares support vector machine model for tomato maturity detection was established. The feasibility of this method is verified by comparing the fusion method with single method.Results:Compared with the …