Applying a Computer Vision System to Monitor External Quality Attributes of Damaged Banana Fruit During Storage
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Atlantis Press International BV
Reference11 articles.
1. I. Ferreira, et al. Determination of quality and ripening stages of ‘Pacovan’ bananas using Vis-Nir spectroscopy and machine learning. Engenharia Agrícola, 2022. 42.
2. B. Zhang, et al. Principles, developments and applications of computer vision for external quality inspection of fruits and vegetables: A review. Food Research International, 2014. 62: p. 326-343.
3. W. Wasala, et al., Application of 1-methylcyclopropene (1-MCP) for delaying the ripening of banana: A review. Asian Research Journal of Agriculture, 2021: p. 44–56.
4. W. Wasala, et al., Feasibility study on styrofoam layer cushioning for banana bulk transport in a local Distribution system. Journal of Biosystems Engineering, 2015. 40(4): p. 409-416.
5. I. Fernando, et al., Quality deterioration of bananas in the post-harvest supply chain-an empirical study. Modern Supply Chain Research and Applications, 2019.
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