Water shortage and quality are major issues in many places, particularly arid semi-arid regions such as Makkah Al-Mukarramah province, Saudi Arabia. The current work was conducted to examine the geochemical mechanisms influencing chemistry of groundwater assess resources through several water indices (WQIs), GIS methods, partial least squares regression model (PLSR). For that, 59 wells were tested for different physical chemical parameters using conventional analytical procedures. results...

Agriculture has significantly aided in meeting the food needs of growing population. In addition, it boosted economic development irrigated regions. this study, an assessment groundwater (GW) quality for agricultural land was carried out El Kharga Oasis, Western Desert Egypt. Several irrigation water indices (IWQIs) and geographic information systems (GIS) were used modeling development. Two machine learning (ML) models (i.e., adaptive neuro-fuzzy inference system (ANFIS) support vector...

In order to evaluate and project the quality of groundwater utilized for irrigation in Sahara aquifer Algeria, this research employed water indices (IWQIs), artificial neural network (ANN) models, Gradient Boosting Regression (GBR), alongside multivariate statistical analysis a geographic information system (GIS), assess forecast used Algeria. Twenty-seven samples were examined using conventional analytical methods. The obtained physicochemical parameters collected showed that Ca2+ > Mg2+...

Surface water quality management is an important facet of the effort to meet increasing demand for water. For that purpose, must be monitored and assessed via use innovative techniques, such as indices (WQIs), spectral reflectance (SRIs), multivariate modeling. Throughout Rosetta Damietta branches Nile River, samples were collected, WQIs at 51 different distinct locations. The drinking index (DWQI), metal (MI), pollution (PI), turbidity (Turb.) total suspended solids (TSS) estimate status....

Abstract Evaluating grouLindwater quality and associated hydrochemical properties is critical to manage groundwater resources in arid semiarid environments. The current study examined appropriateness for agriculture the alluvial aquifer of Makkah Al-Mukarramah Province, Saudi Arabia, utilizing several irrigation water indices (IWQIs) such as index (IWQI), total dissolved solids (TDS), sodium adsorption ratio (SAR), potential salinity (PS), magnesium hazard (MH), residual carbonate (RSC)...

Irrigation has made a significant contribution to supporting the population’s expanding food demands, as well promoting economic growth in irrigated regions. The current investigation was carried out order estimate quality of groundwater for agricultural viability Algerian Desert using various water indices and geographic information systems (GIS). In addition, support vector machine regression (SVMR) applied forecast eight irrigation (IWQIs), such index (IWQI), sodium adsorption ratio...

The assessment and prediction of water quality are important aspects resource management. Therefore, the groundwater (GW) Nubian Sandstone Aquifer (NSSA) in El Kharga Oasis was evaluated using indexing approaches, such as drinking index (DWQI) health (HI), supported with multivariate analysis, artificial neural network (ANN) models, geographic information system (GIS) techniques. For this, physical chemical parameters were measured for 140 GW wells, which indicated Ca–Mg–SO4, mixed...

Water quality is identically important as quantity in terms of meeting basic human needs. Therefore, evaluating the surface-water and associated hydrochemical characteristics essential for managing water resources arid semi-arid environments. present research was conducted to evaluate predict agricultural purposes across Nile River, Egypt. For that, several irrigation indices (IWQIs) were used, along with an artificial neural network (ANN), partial least square regression (PLSR) models,...

Introduction Precise semantic segmentation of microbial alterations is paramount for their evaluation and treatment. This study focuses on harnessing the SegFormer model precise strawberry diseases, aiming to improve disease detection accuracy under natural acquisition conditions. Methods Three distinct Mix Transformer encoders - MiT-B0, MiT-B3, MiT-B5 were thoroughly analyzed enhance detection, targeting diseases such as Angular leaf spot, Anthracnose rot, Blossom blight, Gray mold, Leaf...

Under sustainable development conditions, the water quality of irrigation systems is a complex issue which involves combined effects several surface management parameters. Therefore, this work aims to enhance assessment and geochemical controlling mechanisms assess validation networks for using six Water Quality Indices (WQIs) supported by multivariate modelling techniques, such as Principal Component Regression (PCR), Support Vector Machine (SVMR) Stepwise Multiple Linear (SMLR). A total...

Water quality has deteriorated in recent years as a result of rising population and unplanned development, impacting ecosystem health. The water parameters Qaroun Lake are contaminated to varying degrees, particularly for aquatic life consumption. For that, the objective this work is improve assessments surface determine different geo-environmental affecting lake environmental system utilizing weighted arithmetic index (WAWQI) four pollution indices (heavy metal (HPI), (MI), contamination...

Monitoring and managing water quality parameters (WQPs) in bodies (e.g., lakes) on a large scale using sampling-point techniques is tedious, laborious, not highly representative. Hyperspectral data-driven technology have provided potentially valuable tool for the precise measurement of WQPs. Therefore, objective this work was to integrate WQPs, derived spectral reflectance indices (published (PSRIs)), newly two-band (NSRIs-2b) three-band (NSRIs-3b), artificial neural networks (ANNs)...

Combining hydrogeochemical characterization and a hyperspectral reflectance measurement can provide knowledge for groundwater security under different conditions. In this study, comprehensive examinations of 173 samples were carried out in Makkah Al-Mukarramah Province, Saudi Arabia. Physicochemical parameters, water quality indices (WQIs), spectral (SRIs) combined to investigate controlling factors using multivariate modeling techniques, such as partial least-square regression (PLSR)...

Water quality monitoring is crucial in managing water resources and ensuring their safety for human use environmental health. In the Al-Jawf Basin, we conducted a study on Quaternary aquifer, where various techniques were utilized to evaluate, simulate, predict groundwater (GWQ) irrigation. These include indices (IWQIs), geochemical modeling, multivariate statistical analysis, geographic information systems (GIS), adaptive neuro-fuzzy inference (ANFIS). Physicochemical analysis was collected...

In the Zeroud basin, a diverse array of methodologies were employed to assess, simulate, and predict quality groundwater intended for irrigation. These included irrigation water indices (IWQIs); intricate statistical analysis involving multiple variables, supported with GIS techniques; an artificial neural network (ANN) model; XGBoost regression model. Extensive physicochemical examinations performed on samples elucidate their compositional attributes. The results showed that abundance order...

Assessing and predicting quality of groundwater is crucial in managing availability effectively. In the current study, was thoroughly appraised using various indexing methods, including drinking water index (DWQI), pollution heavy metals (HPI), (PI), metal (MI), degree contamination (C

Leaf water potential (LWP) is an important indicator of plant status. However, its determination via classical pressure-chamber measurements tedious and time-consuming. Moreover, such methods cannot easily account for rapid changes in this parameter arising from environmental conditions. Spectrometric measurements, by contrast, have the fast non-destructive status, but are not unproblematic. Spectral characteristics plants vary across development stages also influenced factors. Thus, it...

Assessing surface water quality for drinking use in developing countries is important since a fundamental aspect of management. This study aims to improve assessments and their controlling mechanisms using the index (DWQI) four pollution indices (PIs), which are supported by multivariate statistical analyses, such as principal component analysis, partial least squares regression (PLSR), stepwise multiple linear (SMLR). Twenty-two physicochemical parameters were analyzed standard analytical...

The importance of soil temperature (ST) quantification can contribute to diverse ecological modelling processes as well for agricultural activities. Over the literature, it was evident that supports more than 95% living habitats and food production on earth, this demand will increase 500 years’ times in expected consumption 2060. This paper aims analyses contrastive approach predict ST a certain region with help different machine learning models, including Random Forest (RF), Support Vector,...

Abstract Sugarcane is the main sugar crop, and an important agricultural product in Egypt. There are many problems with technology used current planting method of sugarcane, which has a great impact on quality have series problems, such as low cutting efficiency poor quality. Therefore, aim study was to design, construct, field testing semiautomatic sugarcane bud chipper assisted pivot knives for buds germinating them plastic trays inside greenhouse until they reached average length 35 cm,...