Explainable AI for Soil Fertility Prediction

Soil fertility refers to the ability of soil in a particular area provide favorable chemical, physical and biological characteristics that help plant its growth. It is affected by multiple parameters, from available concentration Nitrogen Organic Carbon soil. This paper discusses implementation an explainable AI (XAI) model based on Random Forest classifier. The developed reliably predicts relative given using various physiochemical properties, explain reasons behind model’s indicator prediction user friendly graphs. shows 97.02% accuracy comparison with state-of-the-art machine learning models. also applications providing possible solutions further improve upon short term long term.