The project will predict the crop yielding by defining new SDE parameters that can accurately be estimated in SDE model using a neural network under specific noise level regimes to forecast the crop yielding.

This project aims to explore genome sequence as a recognizable language using a parser to identify language parameters (word, sentence and topic) to give more understanding of the rules governing spontaneous polypeptide folding and functionality.