Determining the Fruit Ripening Stage Using Convolution Neural Networks
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-4577-1_13
Reference15 articles.
1. Wankhade M, Hore UW (2021) A survey on fruit ripeness classification Based on image processing with machine learning
2. M A, Renjith PN (2020) Classification of durian fruits based on ripening with machine learning techniques. In: 2020 3rd International conference on intelligent sustainable systems (ICISS), pp 542–547. https://doi.org/10.1109/ICISS49785.2020.9316006
3. Lu S, Lu Z, Aok S, Graham L (2018, Nov) Fruit classification is based on six layers convolutional neural network. In: 2018 IEEE 23rd International conference on digital signal processing (DSP). IEEE, pp 1–5
4. Saranya N, Srinivasan K, Pravin Kumar SK, Rukkumani V, Ramya R (2020) Fruit classification using traditional machine learning and deep learning approach. In: International conference on computational vision and bio inspired computing. Springer, Cham, pp 79–89
5. Lei X, Pan H, Huang X (2019) A dilated CNN model for image classification. IEEE Access 7:124087–124095
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