Researchers Develop AI-Powered Method to Improve Irrigation Efficiency
Scientists have created a novel framework that uses high-resolution soil images and machine learning to estimate Manning’s roughness coefficient in irrigation systems. This approach addresses longstanding challenges in agricultural water management by providing faster, more accessible assessments without specialized equipment.
Breakthrough in Agricultural Water Management
Researchers have developed an innovative approach that integrates image processing and machine learning to estimate Manning’s roughness coefficient in furrow irrigation systems, according to reports published in Scientific Reports. This methodology addresses significant limitations in traditional estimation techniques that have long hampered efficient water management in agriculture.
