These days, artificial intelligence has emerged as a transformative force in various scientific and non-scientific fields, and its impact on botany is no exception. In recent years, artificial intelligence has changed the methods in botanical studies and understanding the plant life, that its technological application in automatic plant identification is becoming a reality. The use of deep learning and large-scale imaging centers have led to the emergence of software such as Pl@ntNet and iNaturalist, which make possible plant identification quickly. In recent decades, climate change has created challenges for global ecosystems, and artificial intelligence plays an important role in helping botanists and ecologists to determine which species are adapted to these environmental conditions. By analyzing environmental data, artificial intelligence models can predict the rate of change in plant distribution, migration patterns, and overall ecosystem dynamics. Biological researchers also estimate that artificial intelligence can be very useful in evolutionary studies, genomics, and phylogenetics, although there are challenges in dealing with big biological data that are briefly introduced in this article.
panahi, M. (2026). The Usage of Artificial Intelligence in Botany Research. Agricultural Information Sciences and Technology, 9(1), 37-47. doi: 10.22092/jaist.2025.369487.1143
MLA
panahi, M. . "The Usage of Artificial Intelligence in Botany Research", Agricultural Information Sciences and Technology, 9, 1, 2026, 37-47. doi: 10.22092/jaist.2025.369487.1143
HARVARD
panahi, M. (2026). 'The Usage of Artificial Intelligence in Botany Research', Agricultural Information Sciences and Technology, 9(1), pp. 37-47. doi: 10.22092/jaist.2025.369487.1143
CHICAGO
M. panahi, "The Usage of Artificial Intelligence in Botany Research," Agricultural Information Sciences and Technology, 9 1 (2026): 37-47, doi: 10.22092/jaist.2025.369487.1143
VANCOUVER
panahi, M. The Usage of Artificial Intelligence in Botany Research. Agricultural Information Sciences and Technology, 2026; 9(1): 37-47. doi: 10.22092/jaist.2025.369487.1143