Editorial: Applications of artificial intelligence, machine learning, and deep learning in plant breeding

In recent years, the field of plant breeding has witnessed a paradigm shift driven by advancements in artificial intelligence (AI) technologies, including machine learning (ML) and deep learning (DL) technologies. These cutting-edge techniques have transformed our understanding of plant biology. From decoding the intricate molecular mechanisms of plant defense to automating disease detection and optimizing nutrient levels, AI is reshaping the landscape of plant breeding.

Authors
Eftekhari M.1 , Ma C.2, 3 , Orlov Y.L. 4, 5, 6
Publisher
Frontiers Media S.A.
Language
English
Pages
1420938
Status
Published
Department
Аграрно-технологический Институт РУДН
Volume
15
Year
2024
Organizations
  • 1 Department of Horticultural Sciences, Faculty of Agriculture, Tarbiat Modares University, Tehran, Iran
  • 2 State Key Laboratory of Crop Stress Resistance and High-Efficiency Production, Center of Bioinformatics, College of Life Sciences, Northwest A&F University, Xianyang, Shaanxi, China
  • 3 Key Laboratory of Biology and Genetics Improvement of Maize in Arid Area of Northwest Region, Ministry of Agriculture, Northwest A&F University, Xianyang, Shaanxi, China
  • 4 Systems Biology Department, Institute of Cytology and Genetics Siberian Branch of the Russian Academy of Sciences (SB RAS), Novosibirsk, Russia
  • 5 Agrarian and Technological Institute, Patrice Lumumba Peoples’ Friendship University of Russia, Moscow, Russia
  • 6 Chair of Information and Internet Technologies, Institute of Biodesign and Complex System Modelling, Sechenov First Moscow State Medical University of the Ministry of Health of the Russian Federation (Sechenov University), Moscow, Russia
Keywords
artificial intelligence; machine learning; deep learning; plant breeding
Date of creation
02.12.2024
Date of change
02.12.2024
Short link
https://repository.rudn.ru/en/records/article/record/157754/
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