An Efficient Regression Method To Predict Soil pH Using RGB Values

The fertility of a soil is governed by potential Hydrogen (pH) value the soil. This research paper presents novel approach for predicting pH using RGB (Red, Green, Blue) values an image. study uti- lizes machine learning techniques to develop model that can accurately pre- dict based on colour information captured in image was trained with dataset containing and correspond- ing as attributes tested variety images. Results show proposed able predict minimal error, demonstrating analysis practical effi- cient method determination agriculture science. With available dataset, various regression approaches have been implemented value, eventually experimental results shows polynomial most effective data not linear analysing this dataset.