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- Title
Editorial: Applications of artificial intelligence, machine learning, and deep learning in plant breeding.
- Authors
Eftekhari, Maliheh; Chuang Ma; Orlov, Yuriy L.
- Abstract
This article explores the use of artificial intelligence (AI), machine learning (ML), and deep learning (DL) in plant breeding and agriculture. It discusses how these technologies have revolutionized our understanding of plant biology and their potential impact on global food security and sustainability. The article presents several studies that demonstrate the effectiveness of AI-driven approaches in crop management, disease detection, and varietal classification. It highlights the opportunities for developing disease-resistant plant varieties, optimizing nutrient levels, and improving crop quality and resilience. Overall, the article emphasizes the importance of advanced technologies in enhancing agricultural practices and ensuring a secure food supply.
- Subjects
PLANT breeding; DEEP learning; ARTIFICIAL intelligence; MACHINE learning; SUSTAINABLE agriculture; BOTANY; HYDROPONICS
- Publication
Frontiers in Plant Science, 2024, p1
- ISSN
1664-462X
- Publication type
Article
- DOI
10.3389/fpls.2024.1420938