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RETRACTED ARTICLE: Banana disease diagnosis using computer vision and machine learning methods

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This article was retracted on 20 June 2022

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Abstract

As it is observed that the banana production is plagued by numerous disease conditions and inflicting large loss to the poor farmers. By using modern technology of image processing and soft computing techniques, these may be known at the sooner stage and appropriate precautions may be taken to avoid more injury and thus increase in healthy production. In this research work used identified the banana diseases in sooner stage. Through the pre-processing technique, image is input to urge standardization and soft coring filter is completed to get rid of the noise. Then colour, shape and texture feature are completed for feature extraction, followed by classification techniques. During these classification techniques, two algorithms are used, that’s the Adaptive Neuro-Fuzzy Inference System and case-based reasoning. Then fuzzy logic is used for making the decision. The proposed system analysis was done using the Receiver Operating Characteristics (ROC) curve. The analysis shows Adaptive Neuro-Fuzzy Inference System is best than the case-based reasoning algorithm.

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Correspondence to A. Athiraja.

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This article has been retracted. Please see the retraction notice for more detail: https://doi.org/10.1007/s12652-022-04195-z

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Athiraja, A., Vijayakumar, P. RETRACTED ARTICLE: Banana disease diagnosis using computer vision and machine learning methods. J Ambient Intell Human Comput 12, 6537–6556 (2021). https://doi.org/10.1007/s12652-020-02273-8

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