Author:
Dkhar Albinus,Bania Rubul Kumar
Publisher
Springer Nature Singapore
Reference12 articles.
1. Mandal OS, Dey A, Nath S (2023) Fruit-net: fruits recognition system using convolutional neural network. In: Shaw RN, Paprzycki M, Ghosh A (eds) Advanced communication and intelligent systems. ICACIS 2022. Communications in computer and information science, vol 1749. Springer, Cham. https://doi.org/10.1007/978-3-031-25088-0_10
2. Sakib S, Ashrafi Z, Siddique M, Bakr A (2019) Implementation of fruits recognition classifier using convolutional neural network algorithm for observation of accuracies for various hidden layers. arXiv e-Journal, pp 1–4
3. Dang CTP, Tai DV (2019) Fruits recognition system based on a modern deep learning technique. J Phys Conf Ser 1327:012050
4. Wang C, Liu S, Wang Y (2022) Application of convolutional neural network-based detection methods in fresh fruit production: a comprehensive review. Front Plant Sci 16(13):868745
5. Arivazhagan S, Newlin S, Selva N, Lakshmanan G (2010) Fruit recognition using color and texture features. J Emerg Trends Comput Inf Sci 1(2):90–94