Amidst challenges like a booming global population and diminishing arable land, plant phenotyping offers a way to automate agriculture and improve crop diagnostics. However, translating the precision of controlled-environment phenotyping to field conditions remains a hurdle, particularly in accurately measuring leaf color due to sunlight glare. Existing solutions, ranging from light scattering simulations to 3D sensor fusion, often require complex, time-consuming, or impractical methods.
Amidst challenges like a booming global population and diminishing arable land, plant phenotyping offers a way to automate agriculture and improve crop diagnostics. However, translating the precision of controlled-environment phenotyping to field conditions remains a hurdle, particularly in accurately measuring leaf color due to sunlight glare. Existing solutions, ranging from light scattering simulations to 3D sensor fusion, often require complex, time-consuming, or impractical methods.
In March 2024, Plant Phenomics published research titled «Mitigating Illumination-, Leaf-, and View-Angle Dependencies in Hyperspectral Imaging Using Polarimetry.» This research aims to develop a novel, single-frame glare color correction technique utilizing polarized BRDF models and polarization-sensitive measurements, potentially revolutionizing field phenotyping by addressing the persistent challenge of glare without the need for complex or time-intensive methods.
