Pomegranate Quality Evaluation Using Non-Destructive Approaches: A Review
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- Ikechukwu Kingsley Opara & Olaniyi Amos Fawole & Candice Kelly & Umezuruike Linus Opara, 2021. "Quantification of On-Farm Pomegranate Fruit Postharvest Losses and Waste, and Implications on Sustainability Indicators: South African Case Study," Sustainability, MDPI, vol. 13(9), pages 1-20, May.
- Durga Prasad Penumuru & Sreekumar Muthuswamy & Premkumar Karumbu, 2020. "Identification and classification of materials using machine vision and machine learning in the context of industry 4.0," Journal of Intelligent Manufacturing, Springer, vol. 31(5), pages 1229-1241, June.
- Ikechukwu Kingsley Opara & Olaniyi Amos Fawole & Umezuruike Linus Opara, 2021. "Postharvest Losses of Pomegranate Fruit at the Packhouse and Implications for Sustainability Indicators," Sustainability, MDPI, vol. 13(9), pages 1-19, May.
- Adegoke Olusesan Adetoro & Umezuruike Linus Opara & Olaniyi Amos Fawole, 2020. "Effect of Hot-Air and Freeze-Drying on the Quality Attributes of Dried Pomegranate ( Punica granatum L.) Arils During Long-Term Cold Storage of Whole Fruit," Agriculture, MDPI, vol. 10(11), pages 1-16, October.
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Keywords
Punica granatum L.; non-destructive testing; machine vision systems; hyperspectral imaging; quality attributes; infrared spectroscopy;All these keywords.
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