Enhancing Color Selection in HSV Color Space

Vegetation indices measure plant health by capturing the green light reflected by plants as well as the red and blue light absorbed by plants. In order to ensure that the information that was originally gathered from the real world is replicated without any of the information being changed, color space transformation is utilized. Transformations of color spaces often lose information, and mapping colors are no exception. Utilizing UAVs to process plant health data in vast agricultural fields is highly efficient but requires rapid computational processing and streamlined steps. Using the Heaviside step function to make it easier and faster to choose the colors you want in the HSV color space is what this study is mostly about. In order to make modifications, the green color that had a hue value that ranged from 90 to 150 degrees was separated. Based on the findings that were revised at the time, it was determined that green can be differentiated from other hues. A modification that was recommended was shown to boost the processing speed by an average of 46.00 seconds, as indicated by the results of the trials that were carried out on images that were taken by an unmanned aerial vehicle (UAV).