Looking Sideways Helps Drones Read Wheat Canopies
· newswise.com · popularity 18/100 · 0 similar stories today · Science & Research Methods (Discovery & Research)
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Summary
<img src="https://www.newswise.com/legacy/image.php?image=https://media.newswise.com/pio/articles/858171/6af04e614a754_24_858171.jpg&width=100&height=150" alt="Newswise image" />Accurately reading crop canopy structure can help breeders see how plants capture light, compete for space and convert energy into yield. A new study shows that changing the viewing angle of an unmanned aerial vehicle (UAV), rather than relying only on straight-down images, can reveal structural information that is otherwise partly hidden. The researchers developed a multi-angle hyperspectral sensing framework to estimate leaf area index (LAI), leaf inclination distribution function parameter a (LIDFa) and fractional vegetation cover (FCover) in diverse wheat breeding materials. By combining directional reflectance modeling with machine learning, the approach improved retrieval of the more angle-sensitive traits and points toward faster, non-destructive phenotyping for crop improvement.
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