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Shiv O. Prasher

Shiv O. Prasher

D-Index & Metrics

Environmental Sciences

D-Index
47
Citations
9664
World Ranking
5720
National Ranking
243

Overview

Shiv O. Prasher is affiliated with McGill University in Canada. Their research primarily spans the fields of Environmental Science and Materials Science, with substantial work also addressing subfields such as Polymers and Plastics, Industrial and Manufacturing Engineering, Pollution, Soil Science, and Water Science and Technology.

Their publication record includes multiple research topics, notably:

  • Wastewater Treatment and Reuse
  • Polymer Nanocomposites and Properties
  • Natural Fiber Reinforced Composites
  • Hydrology and Watershed Management Studies
  • Pharmaceutical and Antibiotic Environmental Impacts
  • Heavy metals in environment
  • Soil Carbon and Nitrogen Dynamics

Prasher has contributed extensively to academic journals, with frequent publications in venues such as Sustainability, Environmental Technology & Innovation, Materials Today Communications, Biomass and Bioenergy, and Water Air & Soil Pollution.

Selected recent papers include:

  • Desorption Strategies and Reusability of Biopolymeric Adsorbents and Semisynthetic Derivatives in Hydrogel and Hydrogel Composites Used in Adsorption Processes (2023), ACS Engineering Au
  • The physicochemical properties of biochar and its applicability as a filler in rubber composites: A review (2021), Materials Today Communications
  • Effect of inorganic additives (rock phosphate, PR and boron waste, BW) on the passivation of Cu, Zn during pig manure composting (2021), Journal of Environmental Management
  • Effect of hydrogel based soil amendments on heavy metal uptake by spinach grown with wastewater irrigation (2021), Journal of Cleaner Production
  • Heavy metal uptake by wastewater irrigated potato plants grown on contaminated soil treated with hydrogel based amendments (2020), Environmental Technology & Innovation

In collaboration, Prasher works frequently with several coauthors, among them:

  • Jaskaran Dhiman
  • Christopher Nzediegwu
  • Ali Mawof
  • Marie-Josée Dumont
  • Ramanbhai M. Patel

Best Publications

  • Comparison of multiple linear and nonlinear regression, autoregressive integrated moving average, artificial neural network, and wavelet artificial neural network methods for urban water demand forecasting in Montreal, Canada

    Jan Adamowski;Hiu Fung Chan;Shiv O. Prasher;Bogdan Ozga-Zielinski

  • Three-Dimensional Quantification of Macropore Networks in Undisturbed Soil Cores

    Johan Perret;S. O. Prasher;A. Kantzas;C. Langford

  • Classification of hyperspectral data by decision trees and artificial neural networks to identify weed stress and nitrogen status of corn

    Pradeep K. Goel;Shiv O. Prasher;Ramanbhai M. Patel;Jacques-André Landry

  • Artificial neural networks to predict corn yield from Compact Airborne Spectrographic Imager data

    Y. Uno;S. O. Prasher;R. Lacroix;P. K. Goel

  • Evaluating Three Hydrological Distributed Watershed Models: MIKE-SHE, APEX, SWAT

    Golmar Golmohammadi;Shiv Prasher;Ali Madani;Ramesh Rudra

  • Removal of Selected Metal Ions from Aqueous Solutions Using Chitosan Flakes

    Raman Bassi;Shiv O. Prasher;B. K. Simpson

  • Using causal loop diagrams for the initialization of stakeholder engagement in soil salinity management in agricultural watersheds in developing countries: a case study in the Rechna Doab watershed, Pakistan.

    Azhar Inam;Jan Adamowski;Johannes Halbe;Shiv Prasher

  • Application of support vector machine technology for weed and nitrogen stress detection in corn

    Y. Karimi;S. O. Prasher;R. M. Patel;S. H. Kim

  • Comparison of multivariate adaptive regression splines with coupled wavelet transform artificial neural networks for runoff forecasting in Himalayan micro-watersheds with limited data

    Jan Adamowski;Hiu Fung Chan;Shiv O. Prasher;Vishwa Nath Sharda

  • The effect of composting on the degradation of a veterinary pharmaceutical

    Jayashree Ramaswamy;Shiv O. Prasher;Ramanbhai M. Patel;Syed A. Hussain

  • Potential of airborne hyperspectral remote sensing to detect nitrogen deficiency and weed infestation in corn

    Pradeep K. Goel;Shiv O. Prasher;Jacques-André Landry;Ramanbhai M. Patel

  • Application of decision tree technology for image classification using remote sensing data

    Chun-Chieh Yang;Shiv O Prasher;Peter Enright;Chandra Madramootoo

  • Measuring performance in precision agriculture: CART-A decision tree approach

    T. Waheed;R.B. Bonnell;Shiv O. Prasher;E. Paulet

  • ESTIMATION OF CROP BIOPHYSICAL PARAMETERS THROUGH AIRBORNE AND FIELD HYPERSPECTRAL REMOTE SENSING

    Pradeep K. Goel;Shiv O. Prasher;Jacques-André Landry;Ramanbhai M. Patel

  • Performance of Multivariate Adaptive Regression Splines (MARS) in predicting runoff in mid-Himalayan micro-watersheds with limited data / Performances de régressions par splines multiples et adaptives (MARS) pour la prévision d'écoulement au sein de micro-bassins versants Himalayens d'altitudes intermédiaires avec peu de données

    V. N. Sharda;S. O. Prasher;R. M. Patel;P. R. Ojasvi

  • Extraction of metals from a contaminated sandy soil using citric acid

    Raman Bassi;Shiv O. Prasher;B.K. Simpson

  • Evaluation of pedotransfer functions in predicting the soil water contents at field capacity and wilting point

    Unknown

  • Advances in the acquisition and analysis of CT scan data to isolate a crop root system from the soil medium and quantify root system complexity in 3-D space

    Melinda Lontoc-Roy;Pierre Dutilleul;Shiv O. Prasher;Liwen Han

  • Mass fractal dimension of soil macropores using computed tomography: from the box‐counting to the cube‐counting algorithm

    Unknown

  • Simultaneous mobilization of heavy metals and polychlorinated biphenyl (PCB) compounds from soil with cyclodextrin and EDTA in admixture.

    Sadia Ehsan;Shiv O. Prasher;William D. Marshall

  • Rhizospheric effects of alfalfa on biotransformation of polychlorinated biphenyls in a contaminated soil augmented with Sinorhizobium meliloti

    Reza Mehmannavaz;Reza Mehmannavaz;Shiv O Prasher;Darakhshan Ahmad

  • Artificial Neural Network Model for Subsurface-Drained Farmlands

    Chun-Chieh Yang;Shiv O. Prasher;René Lacroix;Sri Sreekanth

  • USE OF AIRBORNE MULTI-SPECTRAL IMAGERY FOR WEED DETECTION IN FIELD CROPS

    P. K. Goel;S. O. Prasher;R. M. Patel;D. L. Smith

  • Angiotensin I-converting enzyme inhibitory properties of Phaseolus vulgaris bean hydrolysates: Effects of different thermal and enzymatic digestion treatments

    Xin Rui;Xin Rui;Joyce I. Boye;Benjamin K. Simpson;Shiv O. Prasher

  • Removal of ionophoric antibiotics in free water surface constructed wetlands

    Syed Azfar Hussain;Shiv O. Prasher;Ramanbhai M. Patel

Frequent Co-Authors

Chandra A. Madramootoo
Chandra A. Madramootoo McGill University
Jan Adamowski
Jan Adamowski McGill University
Benjamin K. Simpson
Benjamin K. Simpson McGill University
Joyce I. Boye
Joyce I. Boye Agriculture and Agriculture-Food Canada
Suzelle Barrington
Suzelle Barrington Concordia University
Donald L. Smith
Donald L. Smith McGill University
Joann K. Whalen
Joann K. Whalen McGill University
William H. Hendershot
William H. Hendershot McGill University
Shyam S. Sablani
Shyam S. Sablani Washington State University
Richard B. Ferguson
Richard B. Ferguson University of Nebraska–Lincoln

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