Volume 18, No. 6, 2021
Identification Of The Immune Gene Sequences In Plant Species Using Machine Learning Techniques
Mukesh Perumala , Syeda Sameen Fathima , Vasumathi D
Abstract
Agriculture has a big influence on nations like India, and current research is responsible for making this subject very cost efficient and profitable. Despite this, a large number of crops are lost each year owing to pathogens such plant diseases. In addition, certain crops have been shown to be particularly resistant to certain illnesses. This study presents a unique framework for the identification of immune gene sequences for different species in order to apply or impute such gene sequences to the particular plant species in order to make them immune to diverse illnesses. Four distinct machine learning techniques are proposed in this paper to improve the process of identifying and extracting gene sequences. With a mean time of 2.89 ns, the study achieves over 90% accuracy in identifying and extracting immune gene sequences.
Pages: 5455-5469
Keywords: Intelligent Data Separation, Dataset Normalization, Anomaly Removal, Gene Sequence Normalization, Uniqueness Identification, Immune Gene Sequence Identification, Explicit Selection