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Publication: IIP Proceedings Year: 2022, Month: November Page No: 28-46, ISSN/ISBN: 978-93-95632-83-6, DOI/Link: https://rsquarel.org/assets/docupload/rsl20234C2577CE41BDE7A.pdf
USE OF ARTIFICIAL INTELLIGENCE AND BIOINFORMATICS FOR CROP IMPROVEMENT TO ENSURE FUTURE FOOD SECURITY
Area/Stream: Biotechnology, Authors: Sandip Debnath, Sourish Pramanik, Dibyendu Seth, Biswajit Pramanik Keywords: artificial intelligence, bioinformatics, deep learning, genomics, metabolomics, proteomics, transcriptomics, Book Name /series: Futuristic Trends in Biotechnology , Volume 2, Book 26, Chapter 3Publication: IIP Proceedings Year: 2022, Month: November Page No: 28-46, ISSN/ISBN: 978-93-95632-83-6, DOI/Link: https://rsquarel.org/assets/docupload/rsl20234C2577CE41BDE7A.pdf
Abstract:
Modern plant breeders face a tough insurmountable challenge to feed the world's rapidly expanding population. Insect pest attacks, disease severity, and nutrient deficiency have all reduced agricultural crop yield in recent years. Every day, we face an increasing challenge in satisfying the demands of the expanding population. To accomplish the same, it is vital to use multidisciplinary techniques to find answers to current problems. We've recently witnessed a paradigm change toward employing omics information, methods, and technology to boost agricultural productivity. Crop genotype and phenotypic data provided by the omics era has opened several doors. This will prove to be a vital tool for enhancing agricultural output and farmer incomes. A recent development in agricultural technology is the use of artificial intelligence (AI). High-performance, precise, and cost-effectiveness are only few of the advantages of AI in agriculture. Identifying, cloning, and sequencing genes that help plants tolerate harmful environmental impacts should be made easier with a better understanding of plant genomics. Agricultural and food industries, in particular, are rapidly evolving, and machine learning has recently been recognized as a feasible multidisciplinary technique for enhancing and upgrading such industries. Bioinformatics and artificial intelligence might be used to find the genome and its variations, which could then be used to genetically edit crops in the future, according to this paper's focus on plant multi-omics.
Cite this: Sandip Debnath, Sourish Pramanik, Dibyendu Seth, Biswajit Pramanik,"USE OF ARTIFICIAL INTELLIGENCE AND BIOINFORMATICS FOR CROP IMPROVEMENT TO ENSURE FUTURE FOOD SECURITY", Futuristic Trends in Biotechnology , Volume 2, Book 26, Chapter 3, November, 2022, 28-46, 978-93-95632-83-6, https://rsquarel.org/assets/docupload/rsl20234C2577CE41BDE7A.pdf
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