Fruit quality evaluation using machine learning techniques: review, motivation and future perspectives
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-022-12652-2.pdf
Reference51 articles.
1. Ashok V, Vinod D (2014) Automatic quality evaluation of fruits using probabilistic neural network approach. In: Proceedings of the international conference on contemporary computing and informatics (IC3I), pp 308-311.
2. Azizah LM, Umayah SF, Riyadi S, Damarjati C, Utama NA (2017) Deep learning implementation using convolutional neural networks in mangosteen surface defect detection. In: Proceedings of the 7th IEEE international conference on control system, computing and engineering (ICCSCE), pp 242-246, DOI: https://doi.org/10.1016/j.ijbiomac.2016.10.060.
3. Balan PS, Sunny LE (2018) Survey on feature extraction techniques in image processing. Int J Res Appl Sci Eng Technol 6(3):217–222
4. Bargoti S, Underwood JP (2017) Image segmentation for fruit detection and yield estimation in apple orchards. J Field Robot 34(6):1039–1060. https://doi.org/10.1002/rob.21699
5. Cavallo DP, Cefola M, Pace B, Logrieco AF, Attolico G (2019) Non-destructive and contactless quality evaluation of table grapes by a computer vision system. Comput Electron Agric 156:558–564. https://doi.org/10.1016/j.compag.2018.12.019
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