Abdul M. Mouazen

ORCID: 0000-0002-0354-0067
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About
Contact & Profiles
Research Areas
  • Soil Geostatistics and Mapping
  • Spectroscopy and Chemometric Analyses
  • Geochemistry and Geologic Mapping
  • Soil Mechanics and Vehicle Dynamics
  • Mineral Processing and Grinding
  • Remote Sensing in Agriculture
  • Soil Moisture and Remote Sensing
  • Soil Carbon and Nitrogen Dynamics
  • Smart Agriculture and AI
  • Soil Management and Crop Yield
  • Soil and Unsaturated Flow
  • Agricultural Engineering and Mechanization
  • Water Quality Monitoring and Analysis
  • Crop Yield and Soil Fertility
  • Spectroscopy Techniques in Biomedical and Chemical Research
  • Meat and Animal Product Quality
  • Irrigation Practices and Water Management
  • Leaf Properties and Growth Measurement
  • Soil and Water Nutrient Dynamics
  • Mycotoxins in Agriculture and Food
  • Soil and Land Suitability Analysis
  • Plant Pathogens and Fungal Diseases
  • Greenhouse Technology and Climate Control
  • Analytical Chemistry and Sensors
  • Potato Plant Research

Ghent University
2016-2025

Ghent University Hospital
2021-2024

Vytautas Magnus University
2022-2023

Water Research Institute
2020

National Research Council
2020

Colorado State University
2020

Aristotle University of Thessaloniki
2020

Université de Montpellier
2020

Cranfield University
2010-2019

Zhejiang University of Technology
2011

The development of accurate calibration models for selected soil properties is a crucial prerequisite successful implementation visible and near infrared (Vis-NIR) spectroscopy analysis. This paper compares the performance developed individual farms with that general valid three in European countries. Fresh samples collected from Czech Republic, Germany Denmark were scanned fibre-type Vis-NIR spectrophotometer. After dividing spectra into (70%) validation (30%) sets, set subjected to partial...

10.1111/j.1365-2389.2011.01358.x article EN European Journal of Soil Science 2011-04-04

Accurate and detailed spatial soil information about within-field variability is essential for variable-rate applications of farm resources. Soil total nitrogen (TN) carbon (TC) are important fertility parameters that can be measured with on-line (mobile) visible near infrared (vis-NIR) spectroscopy. This study compares the performance local scale calibrations those based on spiking selected samples from both fields into an European dataset TN TC estimation using three modelling techniques,...

10.3390/s17102428 article EN cc-by Sensors 2017-10-24
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