Match tier
Confirmed
Presence
Current · Arkansas
Last published
2024
Sources
OpenAlex · ORCID
Refreshed
2026-08-15
A
Ahmed A. Hashem
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
Also affiliated: Suez Canal University (2020–2024); Purdue University West Lafayette (2020); University of Arkansas System (2022–2024); Bangladesh Agricultural Research Institute (2023)
Faculty Researcher
7 h-index
17 pubs
226 cited
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Ahmed A. Hashem's research focuses on the application of remote sensing technologies and machine learning for agricultural applications. His work investigates methods for determining crop nutrient deficiencies, such as nitrogen in maize, and detecting variations in crop yield using unmanned aerial vehicle (UAV) imagery and deep learning techniques. Hashem also studies the impact of soil and water conditions, including salinity and shallow groundwater, on crop productivity and evapotranspiration, often employing remote sensing for analysis.
His publications include research on improving soil and crop properties through amendments like gypsum and compost, as well as the use of nanoparticles. He has also explored optimizing water resource management through simulation-optimization approaches for aquifer recharge. Hashem's scholarship metrics include an h-index of 7, with 17 total publications and 219 citations. He has collaborated with several faculty members at Arkansas State University, including Emily S. Bellis and John W. Nowlin.
Metrics
- h-index: 7
- Publications: 17
- Citations: 226
Selected Publications
-
A maximal overlap discrete wavelet packet transform coupled with an LSTM deep learning model for improving multilevel groundwater level forecasts (2024)
-
Optimizing the quantity of recharge water into a sedimentary aquifer through infiltration galleries using a surrogate assisted coupled simulation–optimization approach (2024)
-
Small Unmanned Aircraft Systems and Agro-Terrestrial Surveys Comparison for Generating Digital Elevation Surfaces for Irrigation and Precision Grading (2023)
-
A Maximal Overlap Discrete Wavelet Packet Transform Coupled with an LSTM Deep Learning Model for Improving Multilevel Groundwater Level Forecasts (2023)
-
The combined impact of shallow groundwater and soil salinity on evapotranspiration using remote sensing in an agricultural alluvial setting (2023)
-
Effect of Gypsum, Compost, and Foliar Application of Some Nanoparticles in Improving Some Chemical and Physical Properties of Soil and the Yield and Water Productivity of Faba Beans in Salt-Affected Soils (2023)
-
NAPPN Annual Conference Abstract: Characterizing Rice Nitrogen Use Phenotypes from Multitemporal UAV Imagery with Manifold Learning (2022)
-
Early cascade rice irrigation shutoff (ECIS) conserves water: implications for cascade flood automation (2022)
-
Detecting Intra-Field Variation in Rice Yield With Unmanned Aerial Vehicle Imagery and Deep Learning (2022)
-
Determining nitrogen deficiencies for maize using various remote sensing indices (2022)
-
Assessment of Landsat-Based Evapotranspiration Using Weighing Lysimeters in the Texas High Plains (2020)
-
Landsat Hourly Evapotranspiration Flux Assessment using Lysimeters for the Texas High Plains (2020)
Collaboration Network
Top Collaborators
Michele L. Reba
Agricultural Research Service (US)
6 shared publications
- Detecting Intra-Field Variation in Rice Yield With Unmanned Aerial Vehicle Imagery and Deep Learning
- Optimizing the quantity of recharge water into a sedimentary aquifer through infiltration galleries using a surrogate assisted coupled simulation–optimization approach
- Small Unmanned Aircraft Systems and Agro-Terrestrial Surveys Comparison for Generating Digital Elevation Surfaces for Irrigation and Precision Grading
- Early cascade rice irrigation shutoff (ECIS) conserves water: implications for cascade flood automation
- A maximal overlap discrete wavelet packet transform coupled with an LSTM deep learning model for improving multilevel groundwater level forecasts
Showing 5 of 6 shared publications
John W. Nowlin
Arkansas State University
4 shared publications
In database
- Optimizing the quantity of recharge water into a sedimentary aquifer through infiltration galleries using a surrogate assisted coupled simulation–optimization approach
- Small Unmanned Aircraft Systems and Agro-Terrestrial Surveys Comparison for Generating Digital Elevation Surfaces for Irrigation and Precision Grading
- A maximal overlap discrete wavelet packet transform coupled with an LSTM deep learning model for improving multilevel groundwater level forecasts
- A Maximal Overlap Discrete Wavelet Packet Transform Coupled with an LSTM Deep Learning Model for Improving Multilevel Groundwater Level Forecasts
J.H. Massey
Agricultural Research Service (US)
3 shared publications
- Determining nitrogen deficiencies for maize using various remote sensing indices
- Small Unmanned Aircraft Systems and Agro-Terrestrial Surveys Comparison for Generating Digital Elevation Surfaces for Irrigation and Precision Grading
- Early cascade rice irrigation shutoff (ECIS) conserves water: implications for cascade flood automation
Emily S. Bellis
Arkansas State University
3 shared publications
In database
- Detecting Intra-Field Variation in Rice Yield With Unmanned Aerial Vehicle Imagery and Deep Learning
- Optimizing the quantity of recharge water into a sedimentary aquifer through infiltration galleries using a surrogate assisted coupled simulation–optimization approach
- NAPPN Annual Conference Abstract: Characterizing Rice Nitrogen Use Phenotypes from Multitemporal UAV Imagery with Manifold Learning
Dilip Kumar Roy
Arkansas State University (US)
3 shared publications
- Optimizing the quantity of recharge water into a sedimentary aquifer through infiltration galleries using a surrogate assisted coupled simulation–optimization approach
- A maximal overlap discrete wavelet packet transform coupled with an LSTM deep learning model for improving multilevel groundwater level forecasts
- A Maximal Overlap Discrete Wavelet Packet Transform Coupled with an LSTM Deep Learning Model for Improving Multilevel Groundwater Level Forecasts
Deborah L. Leslie
University of Memphis (US)
3 shared publications
- Optimizing the quantity of recharge water into a sedimentary aquifer through infiltration galleries using a surrogate assisted coupled simulation–optimization approach
- A maximal overlap discrete wavelet packet transform coupled with an LSTM deep learning model for improving multilevel groundwater level forecasts
- A Maximal Overlap Discrete Wavelet Packet Transform Coupled with an LSTM Deep Learning Model for Improving Multilevel Groundwater Level Forecasts
Brayden W. Burns
Arkansas State University
2 shared publications
In database
- Determining nitrogen deficiencies for maize using various remote sensing indices
- Detecting Intra-Field Variation in Rice Yield With Unmanned Aerial Vehicle Imagery and Deep Learning
V. Steven Green
Arkansas State University
2 shared publications
In database
- Determining nitrogen deficiencies for maize using various remote sensing indices
- Detecting Intra-Field Variation in Rice Yield With Unmanned Aerial Vehicle Imagery and Deep Learning
Hesham M. Aboelsoud
Cairo University (EG)
2 shared publications
- Effect of Gypsum, Compost, and Foliar Application of Some Nanoparticles in Improving Some Chemical and Physical Properties of Soil and the Yield and Water Productivity of Faba Beans in Salt-Affected Soils
- The combined impact of shallow groundwater and soil salinity on evapotranspiration using remote sensing in an agricultural alluvial setting
Aaron M. Shew
Arkansas State University
1 shared publication
In database
- Determining nitrogen deficiencies for maize using various remote sensing indices
Maria Arlene Adviento‐Borbe
United States Department of Agriculture (US)
1 shared publication
- Determining nitrogen deficiencies for maize using various remote sensing indices
Mohamed Milad
Arkansas State University
1 shared publication
In database
- Determining nitrogen deficiencies for maize using various remote sensing indices
Jason Causey
Arkansas State University
1 shared publication
In database
- Detecting Intra-Field Variation in Rice Yield With Unmanned Aerial Vehicle Imagery and Deep Learning
Benjamin R. K. Runkle
United States Department of Agriculture
1 shared publication
In database
- Detecting Intra-Field Variation in Rice Yield With Unmanned Aerial Vehicle Imagery and Deep Learning
Beatriz Moreno‐García
United States Department of Agriculture
1 shared publication
In database
- Detecting Intra-Field Variation in Rice Yield With Unmanned Aerial Vehicle Imagery and Deep Learning
Similar Researchers
Based on overlapping research topics
Richard G. Ham
University of Arkansas at Fayetteville
Remote Sensing in Agriculture
Machine Learning Applications
Plant Physiology and Cultivation Studies
V. Steven Green
Arkansas State University
Remote Sensing in Agriculture
Machine Learning Applications
Plant Physiology and Cultivation Studies
Gregory Lee Pate
Arkansas Agricultural Experiment Station
Remote Sensing in Agriculture
Plant Physiology and Cultivation Studies
Agronomic Practices and Intercropping Systems
D. M O'Brien
Arkansas Agricultural Experiment Station
Remote Sensing in Agriculture
Plant Physiology and Cultivation Studies
Agronomic Practices and Intercropping Systems
Uzair Ahmad
University of Arkansas at Fayetteville
Remote Sensing in Agriculture
Plant Physiology and Cultivation Studies
Agronomic Practices and Intercropping Systems
Aurelie M. Poncet
University of Arkansas at Fayetteville
Remote Sensing in Agriculture
Plant Physiology and Cultivation Studies
Agronomic Practices and Intercropping Systems