Anurag Malik
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View article: Sustaining Grape Yield and Soil Health Under Saline–Sodic Irrigation Through Amendments and Canal Water Application
Sustaining Grape Yield and Soil Health Under Saline–Sodic Irrigation Through Amendments and Canal Water Application Open
The present study was undertaken for six years to appraise the responses of four-year-old established grapevines (Vitis vinifera L., cv. Perlette) to saline–sodic groundwater irrigation in relation to different amendments in a field experi…
View article: Streamflow drought index-based prediction of hydrological drought using M5P and gene expression programming models
Streamflow drought index-based prediction of hydrological drought using M5P and gene expression programming models Open
Hydrological drought is one of the complex natural phenomena affecting the surface water resources. Thus, reliable prediction of hydrological drought is crucial for effective planning and management of available water resources on a basin …
View article: Meticulous estimation of maize actual evapotranspiration: A comprehensive explainable CatBoost algorithm reinforced with Jackknife uncertainty paradigm
Meticulous estimation of maize actual evapotranspiration: A comprehensive explainable CatBoost algorithm reinforced with Jackknife uncertainty paradigm Open
View article: CERVICAL CANCER PREDICTION USING ARTIFICIAL NEURAL NETWORKS: A CASE STUDY ON NIGERIAN HEALTHCARE DATA
CERVICAL CANCER PREDICTION USING ARTIFICIAL NEURAL NETWORKS: A CASE STUDY ON NIGERIAN HEALTHCARE DATA Open
Cervical cancer remains a leading cause of morbidity and mortality in low- and middle-income countries (LMICs), particularly in Nigeria, where limited healthcare resources, inadequate screening programs, and late detection exacerbate the b…
View article: Ethnobiological survey on medicinal plants used by gaddi and gujjar tribes of riparian region of Beas River of Himachal Pradesh in North Western Himalayas, India
Ethnobiological survey on medicinal plants used by gaddi and gujjar tribes of riparian region of Beas River of Himachal Pradesh in North Western Himalayas, India Open
Himachal Pradesh is one of the most species-rich regions in the world and a key center for the origin and diversity of numerous plant species. Ethnobotanical research is essential for exploring these diverse biological resources for medici…
View article: Microbial Enzymes in Industrial Biotechnology: Sources, Production, and Significant Applications of Lipases
Microbial Enzymes in Industrial Biotechnology: Sources, Production, and Significant Applications of Lipases Open
The variety of microorganisms represents the most prevalent sources utilized within diverse industries and research fields. Enzymes with microorganisms are applied in the use of industrial biotechnology. Since the dawn of civilization, the…
View article: An explainable predictive approach for investigation of greenhouse gas emissions in maritime canada's potato agriculture
An explainable predictive approach for investigation of greenhouse gas emissions in maritime canada's potato agriculture Open
This study aims to develop an optimized expert system that effectively models and predicts greenhouse gas (GHG) emissions from potato crops, integrating experimental data and advanced computational methods. This research seeks to significa…
View article: Molecular and morphoanatomical characterization of Urocystis heteropogonis sp. nov.: a novel smut fungus infecting Heteropogon contortus
Molecular and morphoanatomical characterization of Urocystis heteropogonis sp. nov.: a novel smut fungus infecting Heteropogon contortus Open
View article: Innovative multi-temporal evapotranspiration forecasting using empirical fourier decomposition and bidirectional long short-term memory
Innovative multi-temporal evapotranspiration forecasting using empirical fourier decomposition and bidirectional long short-term memory Open
Reference evapotranspiration (ETo) is an essential environmental variable that is intimately significant to agriculture. Managing water and crop planning relies heavily on precise forecasting of ETo. This research used a novel time series …
View article: Integrative approaches to improve litchi (Litchi chinensis Sonn.) plant health using bio-transformations and entomopathogenic fungi
Integrative approaches to improve litchi (Litchi chinensis Sonn.) plant health using bio-transformations and entomopathogenic fungi Open
Bio-transformations refer to the chemical modifications made by an organism on a chemical compound that often involves the interaction of plants with microbes to alter the chemical composition of soil or plant. Integrating bio-transformati…
View article: Nano silica-mediated stabilization of heavy metals in contaminated soils
Nano silica-mediated stabilization of heavy metals in contaminated soils Open
Soil contamination with heavy metals presents a substantial environmental peril, necessitating the exploration of innovative remediation approaches. This research aimed to investigate the efficiency of nano-silica in stabilizing heavy meta…
View article: Quantitative improvement of streamflow forecasting accuracy in the Atlantic zones of Canada based on hydro-meteorological signals: A multi-level advanced intelligent expert framework
Quantitative improvement of streamflow forecasting accuracy in the Atlantic zones of Canada based on hydro-meteorological signals: A multi-level advanced intelligent expert framework Open
Developing reliable streamflow forecasting models is critical for hydrological tasks such as improving water resource management, analyzing river patterns, and flood forecasting. In this research, for the first time, an emerging multi-leve…
View article: Development of an enhanced bidirectional recurrent neural network combined with time-varying filter-based empirical mode decomposition to forecast weekly reference evapotranspiration
Development of an enhanced bidirectional recurrent neural network combined with time-varying filter-based empirical mode decomposition to forecast weekly reference evapotranspiration Open
Evapotranspiration is one of agricultural water management's most significant and impactful hydrologic processes. A new multi-decomposition deep learning-based technique is proposed in this study to forecast weekly reference evapotranspira…
View article: Designing a decomposition-based multi-phase pre-processing strategy coupled with EDBi-LSTM deep learning approach for sediment load forecasting
Designing a decomposition-based multi-phase pre-processing strategy coupled with EDBi-LSTM deep learning approach for sediment load forecasting Open
Forecasting accurately suspended sediment load (SSL) in the basin is one of the most critical issues for river engineering, environment, and water resources management which effectively reduces flood damages. In this study, a new multi-cri…
View article: Quantification of river total phosphorus using integrative artificial intelligence models
Quantification of river total phosphorus using integrative artificial intelligence models Open
Total phosphorus (T-P) refers to the concentration of phosphorus in water and is one of the important parameters for eutrophication in lakes and rivers. In current research, neuroscience dependent (i.e., singular and double-platform synthe…
View article: GIS integrated RUSLE model-based soil loss estimation and watershed prioritization for land and water conservation aspects
GIS integrated RUSLE model-based soil loss estimation and watershed prioritization for land and water conservation aspects Open
Land degradation has become one of the major threats throughout the globe, affecting about 2.6 billion people in more than 100 countries. The highest rate of land degradation is in Asia, followed by Africa and Europe. Climate change couple…
View article: Multi-steps drought forecasting in arid and humid climate environments: Development of integrative machine learning model
Multi-steps drought forecasting in arid and humid climate environments: Development of integrative machine learning model Open
In the current study, the Standardized Precipitation Evaporation Index (SPEI) was forecasted using a combination of the empirical wavelet transform (EWT), discrete wavelet transforms (DWT), extended Kalman filter (EKF), two models of multi…
View article: Classification of Cotton Genotypes with Mixed Continuous and Categorical Variables: Application of Machine Learning Models
Classification of Cotton Genotypes with Mixed Continuous and Categorical Variables: Application of Machine Learning Models Open
Mixed data is a combination of continuous and categorical variables and occurs frequently in fields such as agriculture, remote sensing, biology, medical science, marketing, etc., but only limited work has been done with this type of data.…
View article: A novel hybridized neuro-fuzzy model with an optimal input combination for dissolved oxygen estimation
A novel hybridized neuro-fuzzy model with an optimal input combination for dissolved oxygen estimation Open
Dissolved oxygen (DO) is one of the main prerequisites to protect amphibian biological systems and to support powerful administration choices. This research investigated the applicability of Shannon’s entropy theory and correlation in obta…
View article: Rainfall dynamics observed over India during last century (1901–2020) using innovative trend methodology
Rainfall dynamics observed over India during last century (1901–2020) using innovative trend methodology Open
This study investigates the spatio-temporal distribution and trends of seasonal rainfall for different meteorological sub-divisions (MSDs) of India using statistical analysis and the innovative trend analysis (ITA) method. The gridded data…
View article: Computational assessment of groundwater salinity distribution within coastal multi-aquifers of Bangladesh
Computational assessment of groundwater salinity distribution within coastal multi-aquifers of Bangladesh Open
The rising salinity trend in the country’s coastal groundwater has reached an alarming rate due to unplanned use of groundwater in agriculture and seawater seeping into the underground due to sea-level rise caused by global warming. Theref…
View article: Effect of Seed Pelleting with Rhizobium and Nutrition Management on Growth Parameters of Cowpea [Vigna unguiculata (L.) Walp.]
Effect of Seed Pelleting with Rhizobium and Nutrition Management on Growth Parameters of Cowpea [Vigna unguiculata (L.) Walp.] Open
An experiment was laid out in a Randomized Block Design (Factorial) with different pelleting material i.e. no pelleting (P1), Rhizobium liquid (P2), Rhizobium powder (P3) and Rhizobium liquid with jaggery (P4) and 5 levels of nitrogen appl…
View article: Evaluation of Machine Learning versus Empirical Models for Monthly Reference Evapotranspiration Estimation in Uttar Pradesh and Uttarakhand States, India
Evaluation of Machine Learning versus Empirical Models for Monthly Reference Evapotranspiration Estimation in Uttar Pradesh and Uttarakhand States, India Open
Reference evapotranspiration (ETo) plays an important role in agriculture applications such as irrigation scheduling, crop simulation, water budgeting, and reservoir operations. Therefore, the accurate estimation of ETo is essential for op…
View article: Deep learning versus gradient boosting machine for pan evaporation prediction
Deep learning versus gradient boosting machine for pan evaporation prediction Open
In the present study, two innovative techniques namely, Deep Learning (DL) and Gradient boosting Machine (GBM) models are developed based on a maximum air temperature ‘univariate modeling scheme’ for modeling the monthly pan evaporation (E…
View article: Selection of the gridded temperature dataset for assessment of thermal bioclimatic environmental changes in Amu Darya River basin
Selection of the gridded temperature dataset for assessment of thermal bioclimatic environmental changes in Amu Darya River basin Open
View article: Assessment of climate change impact on probable maximum floods in a tropical catchment
Assessment of climate change impact on probable maximum floods in a tropical catchment Open
View article: Deciphering the Biochemical and Functional Characterization of Rice Straw Cultivars for Industrial Applications
Deciphering the Biochemical and Functional Characterization of Rice Straw Cultivars for Industrial Applications Open
View article: Integrating feature extraction approaches with hybrid emotional neural networks for water quality index modeling
Integrating feature extraction approaches with hybrid emotional neural networks for water quality index modeling Open
View article: Effectiveness and Efficiency of E-learning among Students of Higher Education during the COVID-19 Pandemic: A Comparative Study of Malaysia and India
Effectiveness and Efficiency of E-learning among Students of Higher Education during the COVID-19 Pandemic: A Comparative Study of Malaysia and India Open
The worldwide educational system was greatly damaged by COVID-19 pandemic and the urge in closing of educational institutions had affected children around the world. The infectious character of COVID-19 had signaled those teachers and stud…
View article: Assessment of Climate Change Impact on Probable Maximum Floods in a Tropical Catchment
Assessment of Climate Change Impact on Probable Maximum Floods in a Tropical Catchment Open
Increased extreme rainfall due to climate change will increase the probable maximum flood (PMF) and pose a severe threat the critical hydraulic infrastructure like hydroelectric and flood protection dams. As the rainfall extremes in tropic…