To generate a crop monitoring system that enables the user to assess the crop’s phenological growth stages and based on extracted crop parameters, predict the crop yield productions. The developed system is intended to assist in filling gaps in policy makers information that is essential in ensuring sustainable management of crops and forecast yield predictions.
An electroencephalogram (EEG) is a painless test that allows us to acquire the electrical activity of the brain using sensors mounted on the scalp. EEGs have been used since the 1930s and are cheaper to Read more…
As the world is progressing, most organizations and businesses are adopting the latest trends and technologies. One important aspect is the enhanced user experience due to the online availability of services. This project in collaboration Read more…
It is based on state of the art computer vision pose detection and classification models in order to estimate the pose of person. We are working on human action recognition and integrating deep learning and Read more…
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