Color indicators as parameters for predicting the content of organic carbon in soils

The study of chemical, physical and biological properties soil is important for theoretical practical science. properties, in particular the determination organic carbon content, requires a lot time money. Effective measurement necessary to manage functioning ecosystems. Organic has an effect on also plays key role mitigating effects climate change, as dioxide (CO2) can be removed from atmosphere stored soil, thereby reducing warming effect. Soil color one characteristics that quickly analyzed closely related number other chemical parameters. According researches domestic foreign scientists, soils are main storage place carbon, which global cycle. With technological progress development imaging systems, image-based characterization methods have attracted considerable attention science community. Unlike spectroscopy, devices such digital cameras or phone readily available. Traditionally, quantified using Munsell’s system, subjective visual comparison, but recently scientists begun use RGB, CMYK, HSB schemes, definition available almost all computer graphics editors. increase smartphones gradual improvement quality photo images, smartphone photos predict content shows great potential development. face recognition mainly rely object profiles, most factors determining accuracy prediction. Different hardware configurations software settings may cause differences colors.