This Research Topic studies field-based crop phenotyping through different remote sensing platforms and sensors coupled with diversified algorithms. The topic investigates achievements for determining multi-sensor integration methods, image processing ways, and retrieval modeling algorithms to improve the accuracy and robustness of crop phenotype assessment, which can be used for accelerating crop research, breeding efficiency, and precise agricultural management.

The development of crop science requires more rapid and accurate access to field-based crop phenotypes. Remote sensing provides a novel solution to quantify crop structural and functional traits in a timely, rapid, non-invasive, and efficient manner.