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:
Ugandan healers near Rwenzori Mountains use 95 plants as medicine
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:
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
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2 articles
heavy-metal-detection
Heavy-metal detection in plant science involves identifying and measuring the uptake, accumulation, and distribution of toxic metals such as lead, cadmium, and arsenic within plant tissues. Understanding how plants sense and respond to heavy-metal contamination is critical for studying phytoremediation — the use of plants to clean polluted soils — as well as for assessing the ecological impacts of industrial and agricultural pollution on plant health and biodiversity.
open_in_new Wikipedia
Multi-level data fusion of laser-induced breakdown spectroscopy and...
Contaminated soil near old industrial sites, roads, and some treated lumber can quietly leach ars...
heavy-metal-detection
On-chip trace detection of Cd2+ and Pb2+ of deep seawater using CMO...
Cadmium from fertilizers and industrial runoff quietly accumulates in garden soil and gets taken ...