Preprint Review Version 1 Preserved in Portico This version is not peer-reviewed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. Patil, A. Use of Artificial Intelligence to Hasten Progress in Plant Genetics. Preprints 2023, 2023091067.


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.


artificial intelligence; genetics; agriculture; nutritional


Biology and Life Sciences, Agricultural Science and Agronomy

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