Remotely sensed hyperspectral data are increasingly being used to assess crop development and growth throughout the growing season. Large datasets capturing key growth stages can be useful to research
Because spectral technology has exhibited benefits in food-related applications, an increasing amount of effort is being dedicated to develop new food-related spectral technologies. In recent years, t
The dataset contains hyperspectral images of potato plants inoculated with phytopthora inoculum. The spectral signature of the soon to die tissue was learned which enabled early detection of latent po
Description This dataset contains UAV-derived corrected reflectance orthomaps acquired over agricultural fields in Central Macedonia, Greece during February 2026. The orthomaps are provided as georef
ABSTRACT: The Nitrogen content of rice leaves has a significant effect on growth quality and crop yield. We proposed and demonstrated a non-invasive method for the quantitative inversion of rice nitro