Review
Version 1
Preserved in Portico This version is not peer-reviewed
Use of Artificial Intelligence to Hasten Progress in Plant Genetics
Version 1
: Received: 14 September 2023 / Approved: 15 September 2023 / Online: 18 September 2023 (05:34:30 CEST)
How to cite: Patil, A. Use of Artificial Intelligence to Hasten Progress in Plant Genetics. Preprints 2023, 2023091067. https://doi.org/10.20944/preprints202309.1067.v1 Patil, A. Use of Artificial Intelligence to Hasten Progress in Plant Genetics. Preprints 2023, 2023091067. https://doi.org/10.20944/preprints202309.1067.v1
Abstract
There has been a revolution in crop breeding, the age-old technique of improving plant features for agricultural and nutritional purposes. The merging of Artificial Intelligence (AI) and genetics is the driving force behind these changes. The combination of AI-driven models, genomic data, and cutting-edge tools like CRISPR-Cas9 to speed up genetic improvements in crops is described in this abstract. From increased disease resistance and production potential to better nutritional content, AI plays a crucial role in the identification and improvement of crop features. The time it takes to review, select, and cross several generations of crops is reduced by AI's data-driven selection, precision editing, and predictive modeling. This innovative tool has the potential to transform farming by helping to combat issues like hunger, climate change, and malnutrition on a worldwide scale. Equal access, protecting genetic variety, and assessing risks are only some of the ethical and regulatory issues raised by AI-enhanced agricultural breeding. Responsible and equitable implementation of AI in agricultural breeding relies on successfully navigating these challenges. Finally, the use of artificial intelligence to improve crop breeding marks a revolutionary change in agriculture, speeding up genetic improvements to meet the needs of a growing global population while also addressing urgent environmental and nutritional concerns. This abstract provides a taste of the promise, difficulty, and ethical questions that characterize this innovative subject, where artificial intelligence and genetics join forces to grow a better future for agricultural production around the world.
Keywords
artificial intelligence; genetics; agriculture; nutritional
Subject
Biology and Life Sciences, Agricultural Science and Agronomy
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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