PhD student, Tanta University, Egypt
Radwa Abdullah Ahmed Abdullah El-Behairy is a dedicated PhD student at the Faculty of Agriculture, Tanta University, Egypt. Her research focuses on integrating AI and GIS to evaluate soil quality and crop suitability in arid areas, aiming to enhance food security sustainably. In addition to her studies, she serves as an assistant lecturer at the Higher Institute for Agricultural Cooperation in Shubra El Kheima.
Profile
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Education 🎓
Radwa Abdullah Ahmed Abdullah El-Behairy is a dedicated scholar in the field of agricultural and soil sciences. She earned her Bachelor of Science degree in Agricultural Science from Tanta University, Egypt, in 2017. Building on her foundational knowledge, she pursued a Master of Science in Soil Science, also at Tanta University, which she completed in 2021. Currently, Radwa is a Ph.D. student at the same institution, where she is focusing on integrating artificial intelligence and geographic information systems to evaluate soil quality and crop suitability in arid areas. Her academic journey is marked by a strong commitment to advancing agricultural practices and sustainability through innovative research methodologies.
Experience 🏫
Radwa Abdullah Ahmed Abdullah El-Behairy is an Assistant Lecturer at the Higher Institute for Agricultural Cooperation in Shubra El Kheima and a PhD student at the Faculty of Agriculture, Tanta University, Egypt. Her research focuses on integrating Artificial Intelligence (AI) and Geographic Information Systems (GIS) to evaluate soil quality and crop suitability in arid regions. With a solid background in soil science and agricultural science, Radwa has published seven research articles, contributing valuable insights into soil management and crop optimization. Her work aims to enhance agricultural productivity and sustainability through innovative technologies.
Research Interests 🔍
Radwa Abdullah Ahmed Abdullah El-Behairy’s research interests encompass a broad spectrum of fields related to agricultural and environmental sciences. Her primary focus is on agricultural sustainability and pedology, where she explores methods to enhance the resilience and productivity of agricultural systems. She employs remote sensing and GIS technologies to monitor and analyze soil and water resources, integrating these with modeling of irrigation water quality to improve resource management. Her work also addresses environmental contamination through advanced artificial intelligence techniques, contributing to assessments of crop suitability and soil quality. Radwa’s expertise in machine learning and deep learning further supports her efforts to develop innovative solutions for optimizing agricultural practices and ensuring environmental sustainability.
Awards 🏆
Training in the research project “Monitoring land and water productivity through remote sensing WaPOR II”
Publications Top Notes 📚
An Accurate Approach for Predicting Soil Quality Based on Machine Learning in Drylands Agriculture, 2024-04-18 | link
A Novel Approach for Predicting Heavy Metal Contamination Based on Adaptive Neuro-Fuzzy Inference System and GIS in an Arid Ecosystem Agronomy, 2023-07-15 | link
Artificial Intelligence Integrated GIS for Land Suitability Assessment of Wheat Crop Growth in Arid Zones to Sustain Food Security Agronomy, 2023-04-29 |link
Assessment of Potential Heavy Metal Contamination Hazards Based on GIS and Multivariate Analysis in Some Mediterranean Zones Agronomy, 2022-12-19 | link
Combination of GIS and Multivariate Analysis to Assess the Soil Heavy Metal Contamination in Some Arid Zones
Agronomy, 2022-11-16 | link