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

THE POTENTIAL OF REMOTELY SENSED DATA TO PREDICT WHEAT YIELD UNDER MOISTURE AND NITROGEN DEFICIENCY STRESS

STATISTICAL MODELS FOR PREDICTING YIELD RESPONSE OF ONION (Allium Cepa L.) TO APPLIED NITROGEN AND BIOFERTILIZERS

IoT-Based Automated Management Irrigation System Using Soil Moisture Data and Weather Forecasting Adopting Machine Learning Technique

RESPONSE OF ONION TO DIFFERENT LEVELS OF IRRIGATION WATER AND FERTILIZATION: (I) SOIL MOISTURE CONTENT, GROWTH PARAMETERS AND BULB YIELD

Improving Dry Onion Yield, Bulbs Nutrients Status, Water Productivity and Calcareous Soil Properties under Water Stress Using Bio-Stimulants

Effect of Irrigation Management and Nitrogen Fertilizer on Water Productivity, Yield Components and Nitrate Pollution Under Maize Crop

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

Assessment of Potato Vegetation and Yield under Smart Irrigation

Time Series Analysis For Evaluating The Irrigation Adequacy and Soil Variation Impacts On The Crop Dynamic Response Using Remote Sensing