Dr. Ahmed Ali Ayoub Abdelmoneim | Smart Irrigation management | Best Researcher Award
Researcher Private Consultant at Info Istituto Agronomico Mediterraneo di BariThis link is disabled, Italy
Ahmed Ali Ayoub Abdelmoneim is a researcher and consultant specializing in climate change and water scarcity impacts, with a strong background in irrigation modernization. Currently working at the Mediterranean Agronomic Institute of Bari, he focuses on technical assistance, coordination, and educational roles, promoting sustainable practices in agriculture 🌍💧.
Publication Profile
Publications 📖
Forecasting Blue and Green Water Footprint of Wheat (2024, Remote Sensing)
This article explores the prediction of water footprints (both blue and green) for wheat cultivation under various agro-climatic conditions in Egypt’s Nile Delta. The study uses single, hybrid, and stacking ensemble machine learning algorithms to understand water consumption patterns, aiming to optimize water resource use in agriculture.
Advancements in Remote Sensing for Evapotranspiration Estimation (2024, Remote Sensing)
This review article discusses recent advancements in evapotranspiration estimation through remote sensing technologies. The authors provide a comprehensive analysis of temperature-based models and their effectiveness in understanding water use in crops, highlighting their significance for precision agriculture.
Towards Affordable Precision Irrigation (2024, Sustainability)
The study compares two irrigation methods—weather-based and soil water potential-based—for lettuce cultivation. It examines the use of low-cost IoT-tensiometers to improve irrigation efficiency, aiming to enhance water-use efficiency and reduce costs in precision agriculture.
OptGate: A Tool for Gated Pipe Systems (2023, Journal of Irrigation and Drainage Engineering)
The paper introduces OptGate, a tool designed to evaluate the performance of conventional and self-compensating gated pipe systems. The study aids in improving irrigation systems’ efficiency by analyzing their operational behavior under different conditions.
Internet of Things (IoT) for Soil Moisture Tensiometer Automation (2023, Micromachines)
This research discusses the integration of IoT technology into soil moisture tensiometers, enabling automated soil moisture monitoring for irrigation management. This innovation enhances irrigation efficiency by providing real-time soil moisture data.
IoT for Double Ring Infiltrometer Automation (2021, Computers and Electronics in Agriculture)
This article addresses the automation of double ring infiltrometers using IoT, which simplifies the process of measuring soil infiltration rates. It contributes to improving soil water management by providing accurate, real-time data on soil permeability.
Conclusion
The researcher has demonstrated a strong and diversified body of work that aligns with the global demands of climate change and water scarcity challenges. Their expertise in irrigation modernization, technical innovation, and teaching ability makes them a strong candidate for the “Best Researcher Award.” However, further emphasis on enhancing the dissemination of their work through publications and fostering greater interdisciplinary collaboration could elevate their research’s global impact and recognition.