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

Authors
Eftekhari M.1 , Ma C.2, 3 , Orlov Y.L. 4, 5
Conference proceedings
Bioinformatics of Genome Regulation and Structure / Systems Biology (BGRS/SB-2024): The Fourteenth International Multiconference. Novosibirsk, Russia, August 05–10 2024
Publisher
ИЦиГ СО РАН
Language
English
Pages
1136-1137
Status
Published
Year
2024
Organizations
  • 1 Department of Horticultural Sciences, Faculty of Agriculture, Tarbiat Modares University
  • 2 State Key Laboratory of Crop Stress Resistance and High-Efficiency Production, Center of Bioinformatics, College of Life Sciences, Northwest A&F University
  • 3 Key Laboratory of Biology and Genetics Improvement of Maize in Arid Area of Northwest Region, Ministry of Agriculture, Northwest A&F University
  • 4 Institute of Cytology and Genetics, SB RAS
  • 5 Agrarian and Technological Institute, Peoples' Friendship University of Russia
Keywords
computational plant biology; AI-driven plant breeding; omics data analysis; crop resilience; disease detection; food security
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Article
Ivanisenko V.A., Demenkov P.S., Ivanisenko T.V., Antropova E.A., Volyanskaya A.R., Zubairova U.S., Makarova A.A., Orlov Y.L., Chen M.
Bioinformatics of Genome Regulation and Structure / Systems Biology (BGRS/SB-2024): The Fourteenth International Multiconference. Novosibirsk, Russia, August 05–10 2024. ИЦиГ СО РАН. 2024. P. 2188-2190