Shaista Farhat

Comparative analysis of gradient boosting and random forest regressors for nutrient prediction in smart agriculture

Accurate estimation of nutrient concentrations can support monitoring in hydroponic systems. This study compares Random Forest Regressor (RFR) and Gradient Boosting Regressor (GBR) for predicting nitrogen, phosphorus, and potassium from pH, electrical conductivity, temperature, a...