Dr. Odunayo David Adeniyi, European Space Agency, Italy

Dr. Odunayo David Adeniyi, a Nigerian national, is a highly accomplished researcher specializing in Earth and Environmental Sciences. With a Doctor of Philosophy degree from the University of Pavia, Italy, and a Master of Science from the University of Debrecen, Hungary, he has a solid academic background. Dr. Adeniyi’s expertise encompasses digital soil mapping, machine learning for geospatial modeling, and the application of satellite SAR interferometry for land subsidence analysis. He has contributed significantly to the field through his integrated approach for monitoring soil moisture content in Nigeria and his work on machine learning models for digital soil mapping. With a rich educational journey and extensive research experience, Dr. Adeniyi is a driving force in advancing environmental science methodologies.

Professional Profile:

Scopus

Orcid

Google Scholar

Education & Training:

Dr. Odunayo David Adeniyi, a Nigerian national, holds a Doctor of Philosophy degree in Earth and Environmental Sciences from the University of Pavia, Italy. He also earned a Master of Science degree in Agricultural Environmental Management Engineering from the University of Debrecen, Hungary, with a thesis focused on wheat yield forecasting using Landsat vegetation indices. His Bachelor of Engineering was obtained from the Federal University of Technology, Akure.

Work Experience:

As a doctoral researcher at the University of Pavia, Dr. Adeniyi developed and implemented an integrated approach for monitoring soil moisture content in Nigeria using Earth Observation data. He also served as a visiting researcher at the Friedrich Schiller University Jena, Germany, assessing machine learning models for digital soil mapping. Additionally, he worked as a university research assistant at the Institute of Water and Environmental Management in Hungary, specializing in spatial data analysis.

Research Focus:

Dr. Adeniyi’s research interests lie in advancing digital soil mapping approaches, machine learning for geospatial modeling, and the application of satellite SAR interferometry for land subsidence analysis.

 Publication Impact and Citations :

Scopus Metrics:

•  Publications: 02 documents indexed in Scopus.
•  Citations: A total of 30 citations for his publications, reflecting the widespread impact and recognition of Dr. Adeniyi’s research within the academic community.

Google Scholar Metrics:

• All Time:
  • Citations: 66
  • h-index: 04 
  • i10-index: 01
• Since 2018:
  • Citations: 66
  • h-index: 04
  • i10-index: 01

A prolific researcher with significant impact and contributions in the field, as evidenced by citation metrics.

Publications Top Notes :

1. Wheat yield forecasting for the Tisza River catchment using Landsat 8 NDVI and SAVI time series and reported crop statistics
   • Published in Agronomy in 2021.
   • Cited by 41 articles.
2. Soil management and conservation: an approach to mitigate and ameliorate soil contamination
   • Published in Soil Contamination-Threats and Sustainable Solutions in 2020.
   • Cited by 7 articles.
3. Wheat Yield Forecasting Based on Landsat NDVI and SAVI Time Series
   • Published in Preprints in 2020.
   • Cited by 6 articles.
4. Wheat yield prediction based on MODIS NDVI time series data in the wider region of a cereal processing plant.
   • Published in [Journal Name] in 2019.
   • Cited by 5 articles.
5. Digital Mapping of Soil Properties Using Ensemble Machine Learning Approaches in an Agricultural Lowland Area of Lombardy, Italy
   • Published in Land in 2023.
   • Cited by 4 articles.

The post Dr. Odunayo David Adeniyi | Pedometric Award | Best Researcher Award first appeared on ScienceFather.