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Note:The codes used for development and validation of AI based prediction models including sample images, developed models and scripts used for augmentation of original images, have been uploaded on GitHub. The uploaded content may be accessed freely at: https://github.com/arunsharma8osdd/iRSVPred



Work - Flow Diagram



Figure: Work-flow representing overall strategy used to develop artificial intelligence based prediction models used on iRSVPred web server.

Figure: Work-flow representing overall strategy used to develop artificial intelligence based prediction models used on iRSVPred web server.

Figure: Images used for training and validation of deep learning models multiple augmentation model-I (MAM-I) and multiple augmentation model-II (MAM-II).

Figure: Images used for training and validation of deep learning models multiple augmentation model-I (MAM-I) and multiple augmentation model-II (MAM-II).

Figure: Overview of paddy seeds variety prediction using iRSVPred web server.

Figure: Overview of paddy seeds variety prediction using iRSVPred web server.

Figure: Overview of paddy seeds variety prediction using iRSVPred web server.

Figure: Overview of paddy seeds variety prediction using iRSVPred web server.

Model I

Model I

Model II

Model II

Model III

Model III



Standard Images

Standard Images

Augmented Images

Augmented Images

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