Early detection of declining forest health is critical for the timely intervention and treatment of droughted and diseased ...
Variability in the leaf phenology of tropical trees impacts their growth. How phenology of tree species responds over rainfall gradient is relevant to study in the light of current climatic changes.
Monitoring forest health typically relies on remote sensing tools such as light detection and ranging (LiDAR), radar, and ...
• Leaf optical properties impact leaf energy balance and thus leaf temperature. The effect of leaf development on mid-infrared (MIR) reflectance, and hence thermal emissivity, has not been ...
A research team has developed a new hybrid artificial intelligence framework that can accurately estimate leaf nitrogen content without relying on labor-intensive field measurements.
Monitoring forest health typically relies on remote sensing tools such as light detection and ranging (LiDAR), radar, and ...
A research team demonstrates that hyperspectral sensing, combined with advanced artificial intelligence, can accurately estimate multiple biochemical and mineral traits in grapevine leaves at once.
AZoCleantech on MSN
Researchers split sunlight to boost solar power and heat
Researchers developed a solar collector with a dielectric Bragg mirror, optimizing energy conversion by separating sunlight ...
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