OpenAlex:
Artificial Intelligence in Plant Sciences
OpenAlex:
Artificial Intelligence in Plant Sciences
OpenAlex:
sRNA_seq_clean_thrips_leafdiscs_timeseries
OpenAlex:
sRNA_seq_clean_thrips_leafdiscs_timeseries
OpenAlex:
Color phenotyping and genome-wide association studies of ...
OpenAlex:
FUNCTIONAL STUDIES ON SIEVE ELEMENT-SPECIFIC PROTEINS
OpenAlex:
Understanding the control of perpetual flowering and cont...
OpenAlex:
Nuclear dynamics in Sclerotinia sclerotiorum
OpenAlex:
Artificial Intelligence in Plant Sciences
OpenAlex:
Artificial Intelligence in Plant Sciences
OpenAlex:
sRNA_seq_clean_thrips_leafdiscs_timeseries
OpenAlex:
sRNA_seq_clean_thrips_leafdiscs_timeseries
Artificial Intelligence in Plant Sciences
OpenAlex · 2045-12-10
This chapter introduces how artificial intelligence — software that learns from data to perform tasks once requiring human judgment — is being applied across plant sciences, from crop monitoring to disease detection.
1
AI enables machines to autonomously perform tasks in plant sciences that previously required human expertise and judgment.
2
Machine learning algorithms — the core engine of AI — train on large volumes of input data to recognize patterns and make decisions.
3
AI applications in plant sciences span a diverse range of uses, suggesting broad potential across crop management, disease diagnosis, and botanical research.