A research team has developed a dual-UAV cooperative color correction system (CoF-CC) that integrates synchronized drone flights with a ColorChecker reference chart for real-time calibration.

A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant ...

During early development, tissues and organs begin to bloom through the shifting, splitting, and growing of many thousands of ...

A research team has now developed a new few-shot semantic segmentation framework, SegPPD-FS, capable of identifying infected regions from only one or a few labeled samples.

Genotype-phenotype models (GPM) of crops represent a significant advancement in understanding the intricate relationship ...

In recent years, the field of radar and remote sensing has experienced significant advancements due to the evolution of ...