Mona Maze | Land Classification | Best Researcher Award Published on 19/09/202519/09/2025 by Computer Vision Awards Assoc. Prof. Dr. Mona Maze | Land Classification | Best Researcher Award Senior Researcher | Agricultural Research Center | Egypt Dr. Mona Maze is a dedicated researcher specializing in agricultural climate, plant nutrition, and digital agriculture, with a strong focus on developing climate change adaptation strategies, precision farming approaches, and the use of remote sensing and machine learning in agriculture. She earned her PhD in Plant Nutrition from the Technical University of Munich, where her doctoral work addressed crop growth and yield modeling under water scarcity and changing climatic conditions. Over her professional career, she has actively contributed to national and international research projects in collaboration with institutions such as the European Commission, USAID, UNDP, and FAO, while also leading initiatives like the Digital Dynamic Agricultural Map of Egypt and Early Warning Systems for farmers. Her teaching experience and supervision of graduate students reflect her commitment to academic development, while her publication record in reputed journals such as Scientific Reports, ISPRS Journal of Photogrammetry and Remote Sensing, Agronomy, and Energies highlights her strong scientific contributions. Her research interests span climate-smart agriculture, soil fertility, plant nutrition, digital transformation in agriculture, and data-driven solutions for food security. She possesses advanced research skills in machine learning, deep learning, geospatial data analysis, crop modeling, and experimental design, complemented by professional certifications in business management, spatial data science, and AI-based systems. She has 54 citations by 54 documents, 11 publications, and an h-index of 4, reflecting her growing impact in the scientific community. Profiles: Scopus | ORCID Featured Publications Maze, M., Attaher, S., Taqi, M. O., Elsawy, R., Gad El-Moula, M. M. H., Hashem, F. A., & Moussa, A. S. (2025). Enhanced agricultural land use/land cover classification in the Nile Delta using Sentinel-1 and Sentinel-2 data and machine learning. ISPRS Journal of Photogrammetry and Remote Sensing. Salah, M., Maze, M., & Tonbol, K. (2024). Intersecting vulnerabilities: Climate justice, gender inequality, and COVID-19’s impact on rural women in Egypt. Multidisciplinary Adaptive Climate Insights. Maze, M., Taqi, M. O., Tolba, R., Abdel-Wareth, A. A. A., & Lohakare, J. (2024). Estimation of methane greenhouse gas emissions from livestock in Egypt during 1989 to 2021. Scientific Reports. El-Beltagi, H. S., Hashem, F. A., Maze, M., Shalaby, T. A., Shehata, W. F., & Taha, N. M. (2022). Control of gas emissions (N₂O and CO₂) associated with applied different rates of nitrogen and their influences on growth, productivity, and physio-biochemical attributes of green bean plants grown under different irrigation methods. Agronomy, 12(2), 249. Abd El-Fattah, D. A., Maze, M., Ali, B. A. A., & Awed, N. M. (2022). Role of mycorrhizae in enhancing the economic revenue of water and phosphorus use efficiency in sweet corn (Zea mays L. var. saccharata) plants. Journal of the Saudi Society of Agricultural Sciences.
Dr. Mona Maze is a dedicated researcher specializing in agricultural climate, plant nutrition, and digital agriculture, with a strong focus on developing climate change adaptation strategies, precision farming approaches, and the use of remote sensing and machine learning in agriculture. She earned her PhD in Plant Nutrition from the Technical University of Munich, where her doctoral work addressed crop growth and yield modeling under water scarcity and changing climatic conditions. Over her professional career, she has actively contributed to national and international research projects in collaboration with institutions such as the European Commission, USAID, UNDP, and FAO, while also leading initiatives like the Digital Dynamic Agricultural Map of Egypt and Early Warning Systems for farmers. Her teaching experience and supervision of graduate students reflect her commitment to academic development, while her publication record in reputed journals such as Scientific Reports, ISPRS Journal of Photogrammetry and Remote Sensing, Agronomy, and Energies highlights her strong scientific contributions. Her research interests span climate-smart agriculture, soil fertility, plant nutrition, digital transformation in agriculture, and data-driven solutions for food security. She possesses advanced research skills in machine learning, deep learning, geospatial data analysis, crop modeling, and experimental design, complemented by professional certifications in business management, spatial data science, and AI-based systems. She has 54 citations by 54 documents, 11 publications, and an h-index of 4, reflecting her growing impact in the scientific community. Profiles: Scopus | ORCID Featured Publications Maze, M., Attaher, S., Taqi, M. O., Elsawy, R., Gad El-Moula, M. M. H., Hashem, F. A., & Moussa, A. S. (2025). Enhanced agricultural land use/land cover classification in the Nile Delta using Sentinel-1 and Sentinel-2 data and machine learning. ISPRS Journal of Photogrammetry and Remote Sensing. Salah, M., Maze, M., & Tonbol, K. (2024). Intersecting vulnerabilities: Climate justice, gender inequality, and COVID-19’s impact on rural women in Egypt. Multidisciplinary Adaptive Climate Insights. Maze, M., Taqi, M. O., Tolba, R., Abdel-Wareth, A. A. A., & Lohakare, J. (2024). Estimation of methane greenhouse gas emissions from livestock in Egypt during 1989 to 2021. Scientific Reports. El-Beltagi, H. S., Hashem, F. A., Maze, M., Shalaby, T. A., Shehata, W. F., & Taha, N. M. (2022). Control of gas emissions (N₂O and CO₂) associated with applied different rates of nitrogen and their influences on growth, productivity, and physio-biochemical attributes of green bean plants grown under different irrigation methods. Agronomy, 12(2), 249. Abd El-Fattah, D. A., Maze, M., Ali, B. A. A., & Awed, N. M. (2022). Role of mycorrhizae in enhancing the economic revenue of water and phosphorus use efficiency in sweet corn (Zea mays L. var. saccharata) plants. Journal of the Saudi Society of Agricultural Sciences.