- Soil and Land Suitability Analysis
- Soil Geostatistics and Mapping
- Geochemistry and Geologic Mapping
- Soil erosion and sediment transport
- Remote Sensing in Agriculture
- Soil Carbon and Nitrogen Dynamics
- Groundwater and Watershed Analysis
- Land Use and Ecosystem Services
- Heavy metals in environment
- Aeolian processes and effects
- Flood Risk Assessment and Management
- Mineral Processing and Grinding
- Hydrology and Watershed Management Studies
- Smart Agriculture and AI
- Sustainable Agricultural Systems Analysis
- Urban Heat Island Mitigation
- Crop Yield and Soil Fertility
- Spectroscopy and Chemometric Analyses
- Irrigation Practices and Water Management
- Soil Moisture and Remote Sensing
- Greenhouse Technology and Climate Control
- Plant Water Relations and Carbon Dynamics
- Soil and Unsaturated Flow
- Urban Green Space and Health
- Multi-Criteria Decision Making
National Authority for Remote Sensing and Space Sciences
2016-2025
Peoples' Friendship University of Russia
2021-2025
International Islamic University Malaysia
2024
Al-Azhar University
2024
Zagazig University
2015
Kafrelsheikh University
2014
Lomonosov Moscow State University
2011
University of Minnesota
1998
Beginning with a discussion of reflectance spectroscopy, this article attempts to provide review on fundamental concepts spectroscopic techniques. Their applications as well exploring the role Near-infrared spectroscopy that would be used for monitoring and mapping soil characteristics. This technique began in second half 20th century industrial purposes. Moreover, explores potentiality predicting properties based measurements .Quantitative prediction such as; salinity, organic carbon,...
Estimation of soil moisture content (SMC) is an important aspect precision irrigation water management. Soil affects several factors such as vegetation cover, evapotranspiration (ET) and crop growth. This study aims to predict using optical remote sensing data Synthetic Aperture Radar (SAR) Sentinel-1 the correlation with pattern. The was carried out in east Nile Delta Egypt (30° 31 30° 33 N, 31° 55 05 E). A number 100 surface samples (0–10) were collected represent different types area....
Soil quality assessment is the first step towards precision farming and agricultural management. In present study, a multivariate analysis geographical information system (GIS) were used to assess map soil index (SQI) in El-Fayoum depression Western Desert of Egypt. For this purpose, total 36 geo-referenced representative samples (0–0.6 m) collected analyzed according standardized protocols. Principal component (PCA) was reduce dataset into new variables, avoid multi-collinearity, determine...
Today, the global food security is one of most pressing issues for humanity, and, according to Food and Agriculture Organisation (FAO), increasing demand likely grow by 70% until 2050. In this current condition future scenario, agricultural production a critical factor facing challenge, with specific reference many African countries, where large quantities rice are imported from other continents. According FAO, face Africa’s inability reach self-sufficiency in rice, it urgent “to redress...
Water scarcity and suitable irrigation water management in arid regions represent tangible challenges for sustainable agriculture. The current study aimed to apply multivariate analysis develop a simplified quality assessment using principal component (PCA) the agglomerative hierarchical clustering (AHC) technique assess of Bahr Mouise canal El-Sharkia Governorate, Egypt. proposed methods depended on monitored chemical composition (e.g., pH, electrical conductivity (ECiw), Ca2+, Mg2+, Na+,...
The issue of soil contamination is one the most important subjects that interests decision-makers all over world. It also related to fertility and food security. soils adjacent drains in Egypt suffer from increasing concentration heavy metals, which negatively affects crop quality. Precise spatial distribution maps metals are an essential key mitigating negative impacts on ecosystem. Sixty random locations El-Moheet drainage were chosen west side Nile River, El-Minia governorate, Egypt. Six...
Land evaluation has an important role in agriculture. Developing countries such as Egypt face many challenges far food security is concerned due to the increasing rates of population growth and limited agriculture resources. The present study used multivariate analysis (PCA cluster analysis) assess soil capability drylands, Meanwhile Almagra model Micro LEIS was evaluate land suitability for cultivated crops investigated area under current (CS) optimal scenario (OS) management with aim...
Assessing soil quality marks the initial step in precision farming and agricultural management. Developing countries like Egypt face numerous hurdles ensuring food security due to increasing populations limited resources. A geographic information system (GIS) multivariate analysis were utilized current work evaluate map a index (SQI). Moreover, land suitability of for two plantations tree's oak (Quercus robur), pine (Pinus silvestris), respectively was assessed using parametric approach....
Introduction: Soil pollution directly impacts food quality and the lives of both humans animals. The concentration heavy metals in Egypt’s drain-side soils is rising, which detrimental to soil crops. key reducing effects on ecosystem having accurate maps spatial distribution subsequent use environmentally sustainable remediation approaches. objective this work assess contamination utilizing mapping metals, determine levels using Principal Component Analysis (PCA), calculate severity...
Cation exchange capacity is a crucial metric for managing soil fertility and promoting agricultural sustainability. An alternative technique the non-destructive assessment of important parameters reflectance spectroscopy. The main focus this paper on how to analyze predict content various cation capacities (CEC) in arid conditions (Sohag governorate, Egypt) at low cost using laboratory analysis CEC, visible near-infrared shortwave infrared (Vis-NIR) spectroscopy, partial least-squares...
Nowadays, machine learning (ML) is a useful technology due to its high accuracy in constructing non-linear models and algorithms that can adapt the complexity diversity of data. Thus, current work aimed predict soil quality index (SQI) from extensive data, achieving with artificial neural networks (ANN) model. However, efficiency ANN depends on data prepared for training. For this purpose, MATLAB programming language was used enable calculation, classification, compilation results into...
Soil erosion constitutes one of the main environmental and food security threats, derived from loss its productive capacity. With help remote sensing (RS), geographic information systems (GIS), a revised version universal soil equation (RUSLE), this research has mostly focused on measuring potential hazard water conservation ratio (SWCR) in El-Minia region Egypt. Based integration S2A images digital elevation model (DEM), geomorphological units study area were identified. The RUSLE includes...
This work is a novel trial to integrate geostatistics with fuzzy logic under the geographic information system (GIS) environment model soil pollution. Soil samples from seventy-one profiles in northern Nile Delta, Egypt, and were analyzed for total concentrations of Cd, Co, Cu, Pb, Ni, Zn. Metal distribution maps generated using ordinary kriging methods. They normalized by linear non-linear membership functions (FMFs) overlain operators (And, OR, Sum, Product, Gamma). The final validated...
Sustainable agriculture focuses on production that renews resources. Egypt has a lot of sustainability constraints such as salinity and alkalinity, lack infrastructure credit utilization. The current study assessment factors for agricultural utilization through integrated biophysical, economic viability social acceptability in the North Sinai area. spatial model (SASM) was developed using Arc GIS 10 to identify classify area, according degree utilization, where productivity, security,...
This study was conducted to assess Soil Quality Indicators (SQIs) in some cultivated soils North Delta, Egypt. Two methodologies were implemented (Simple additive SQI1 and Weighted SQI2) (SQ) status. SQ determined qualitatively quantitatively based on field laboratory analysis. In addition the results of both methods evaluated statistically. Indices (SQI) examined vertical horizontal soil properties. Twenty potential physiochemical SQIs sixty profiles assessed. The parameters considered this...
The study aims to clarify the relationship between soil organic carbon (SOC) and human activity under arid conditions, in east area of Nile Delta, Egypt. SOC is one critical factors food production plays an important role climate change because it affects physio-chemical characteristics, plant growth, contributes sustainable development on global levels. For purpose our investigations, 120 samples (0–30 cm) were collected throughout different land uses types area. Multiple linear regressions...
Soil sealing is currently one of the most critical barriers to sustainable development, particularly in developing countries such as Egypt. Agriculture a major component Egyptian economy and country’s main source food security. Urbanization devouring vast areas agricultural land, therefore, present study, urbanization was used determine degree soil region Kafr El Sheikh Governorate, In this work, remote sensing data were monitor changes land use cover (LULC) between 1984 2016. A field survey...
One of the most significant challenges that global decision-makers are concerned about is soil contamination. It also related to food security and fertility. The quality crops in Egypt being severely impacted by increased heavy metal content soils middle Nile Delta. In Egypt’s Delta, fifty random samples were chosen. Inverse distance weighting (IDW) was used create spatial pattern maps for four metals: Cd, Mn, Pb, Zn. contamination levels research area assessed using principal component...
Developing countries all over the world face numerous difficulties with regard to food security. The purpose of this research is develop a new approach for evaluating wheat’s suitability cultivation. To end, geographical information systems (GIS) and fuzzy inference (FIS) are used as most appropriate artificial intelligence (AI) tools. Outcomes investigations carried out in western Nile Delta, Egypt. system was Mamdani type. membership functions work sigmoidal, Gaussian, zmf membership....