Fruit quality and defect image classification with conditional GAN data augmentation

Jordan J. Bird; Chloe M. Barnes; Luis J. Manso; Anikó Ekárt; Diego R. Faria

doi:10.1016/j.scienta.2021.110684

Fruit quality and defect image classification with conditional GAN data augmentation

Jordan J. Bird^*
, Chloe M. Barnes
, Luis J. Manso
, Anikó Ekárt
, Diego R. Faria

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

155 Citations (SciVal)

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Abstract

Contemporary Artificial Intelligence technologies allow for the employment of Computer Vision to discern good crops from bad, providing a step in the pipeline of selecting healthy fruit from undesirable fruit, such as those which are mouldy or damaged. State-of-the-art works in the field report high accuracy results on small datasets (

Original language	English
Article number	110684
Journal	Scientia Horticulturae
Volume	293
Early online date	1 Nov 2021
DOIs	https://doi.org/10.1016/j.scienta.2021.110684 https://doi.org/10.1016/j.scienta.2021.110684
Publication status	Published - 5 Feb 2022

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© 2021 The Authors
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title = "Fruit quality and defect image classification with conditional GAN data augmentation",

abstract = "Contemporary Artificial Intelligence technologies allow for the employment of Computer Vision to discern good crops from bad, providing a step in the pipeline of selecting healthy fruit from undesirable fruit, such as those which are mouldy or damaged. State-of-the-art works in the field report high accuracy results on small datasets (",

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AU - Bird, Jordan J.

AU - Barnes, Chloe M.

AU - Manso, Luis J.

AU - Ekárt, Anikó

AU - Faria, Diego R.

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AB - Contemporary Artificial Intelligence technologies allow for the employment of Computer Vision to discern good crops from bad, providing a step in the pipeline of selecting healthy fruit from undesirable fruit, such as those which are mouldy or damaged. State-of-the-art works in the field report high accuracy results on small datasets (

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Fruit quality and defect image classification with conditional GAN data augmentation

Abstract

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