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

An Intelligent Approach for Water Quality Status Classification Using Supervised Machine Learning Algorithms.

Transforming Agriculture with Machine Learning: Exploring Advanced Classification Methods

IOT based Smart Irrigation System

Water management using internet of things with surface and sub-surface drip irrigation systems

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

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

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

PREDICTING ENGINEERING FACTORS RELATED TO SOIL AMENDMENTS USING NEURAL NETWORKS

A PROPOSED FRAMEWORK TO IMPROVE DECISION-MAKING IN THE DEPLOYMENT OF MODERN IRRIGATION TECHNIQUES USING BUSINESS INTELLIGENCE