PREDICTING ENGINEERING FACTORS RELATED TO SOIL AMENDMENTS USING NEURAL NETWORKS

IMPROVING SOIL SALINITY PREDICTION IN SEMI-ARID AREAS USING MACHINE LEARNING MODELS

USING ARTIFICIAL NEURAL NETWORKS MODELS FOR PREDICTING WHEAT YIELD PRODUCTIVITY

Integrating Climate and Plant Variables with Machine Learning Models to Forecast Tomato Yield at Different Soil Moisture Levels

Yield Prediction of some Orchard Trees Based on Soil Characteristics under Rainfed Conditions

Soil productivity assessment of El-Fayoum depression, Egypt, using remote sensing and GIS

Predicting and Optimizing Tillage Draft Using Artificial Network Technique

Evaluating the Performance of Data-Driven Models Combined with IoT to Predict the Onion Yield under Different Irrigation Regimes

THE PREDICTION OF THE COMBINATION EFFECT OF COMPOST, NITROGEN AND PHOSPHORUS FERTILIZERS ON SOME SOIL PROPERTIES AND PRODUCTIVITY OF WHEAT AND MAIZE YIELDS

Prediction of geotechnical properties of deltaic clays by using regression analysis models