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iRSVPred 2.0: A Highly Efficient Web Server and Android Mobile Application, For Pre-trained Deep Learning models Based Prediction of Major Basmati Paddy Seed Varieties.

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iRSVPred-2.0

iRSVPred 2.0: It is an update of the iRSVPred web server that is trained and evaluated with ten varieties of major basmati paddy seeds images. In order to enhance the accuracy of the iRSVPred predictive models and easy access by the users, we have developed iRSVPred 2.0 (web server and android application).

Available on Play Store


iRSVPred 2.0 has been developed which provides a single model for prediction. The latest model is faster in terms of prediction speed, more accurate in prediction and provides a single classification prediction result with the probabilities for all 10 paddy varieties along with the Unknown class of images. These include Pusa basmati 1121, Pusa basmati 1509, Pusa basmati 1637, CSR 30 (salt-tolerant basmati), DHBT-3, PB-1, PB-6, BAS-370, 1718, and 1728.

iRSVPred 2.0 Model Git Repository

Get the Image Classification Model developed by Nimisha Tiwari at iRSVPred 2.0 To download the model augmentation scripts files, please visit the Repo. Visit our Web server for iRSVPred 2.0.

Web server

The webpage was developed and designed by Dr. Arun Sharma and Sushmita Sharma. And visit our latest Webserver.

Android Application

To know more about the Android application developed by Hemant Kumar Joon please check out the Repo.

iRSVPred (previous version) Model Git Repository

To know more about the Machine learning model developed by Dr. Arun Sharma for previous version please check out the Repo.
and visit our Web server

License

Apache License 2.0

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iRSVPred 2.0: A Highly Efficient Web Server and Android Mobile Application, For Pre-trained Deep Learning models Based Prediction of Major Basmati Paddy Seed Varieties.

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