This work is dedicated to the development of an automated system for analyzing plant condition based on spectral data and fundamental vegetation indices such as NDVI, GNDVI, SAVI, EVI, and VARI. The goal of the study is to create a tool that enables vegetation image processing, calculation of spectral indicators, and interpretation of the obtained results to assess the state of agricultural crops.
The implemented system provides automated index calculation, visualization, and generation of summarized analytical results.
The developed software increases the speed and accuracy of vegetation condition assessment, supports the optimization of resource use, enables timely detection of stress factors, and assists in making informed agronomic decisions.
Research advisor: O.Muraviov
