Zahoor Ahmad | Crop Physiology | Best Researcher Award

Assoc Prof Dr Zahoor Ahmad |  Crop Physiology |  Best Researcher Award

Associate Professor at  University of Central Punjab, Pakistan

Associate Professor, Campus Coordinator University of Central Punjab, Constituent Punjab College Bahawalpur.

Profile:

Academic Qualifications:

  • Post-Doctorate: Department of Field Crops, Faculty of Agriculture, Cukurova University, Adana, Turkey (January 17 – September 17, 2020)
  • Ph.D. in Crop Physiology: University of Agriculture Faisalabad, Punjab, Pakistan (Completed on December 13, 2015)
    • Thesis Title: Maize (Zea mays L.) Responses to Supplemental Foliar Applied Phosphorus under Drought Stress
  • M.Sc. (Hons.) in Agriculture (Agronomy/Crop Physiology): University of Agriculture Faisalabad, Punjab, Pakistan (2011)
    • Thesis Title: Response of Cotton (Gossypium hirsutum L.) to Foliar Applied Potassium Sulphate (K2SO4)
  • B.Sc. (Hons.) in Agriculture (Agronomy/Crop Physiology): University of Agriculture Faisalabad, Punjab, Pakistan (2009)
  • Intermediate (F.Sc. Pre-medical): BISE Bahawalpur (2005)
  • Matric (Science): BISE Bahawalpur (2002)

Professional Experience:

  • Assistant Professor, Head of Botany Department: Constituent College of University of Central Punjab, Bahawalpur (October 2, 2020 – Present)
  • Post-Doctoral Researcher: Department of Field Crops, Faculty of Agriculture, Cukurova University, Adana, Turkey (January 17 – September 17, 2020)
  • Visiting Faculty Member: Department of Life Sciences (Botany), The Islamia University of Bahawalpur (October 4, 2017 – January 10, 2020)
  • Lecturer: Allama Iqbal College Bahawalpur (September 15, 2017 – December 31, 2019)
  • Assistant Professor: Cholistan Institute of Desert Studies (CIDS), The Islamia University of Bahawalpur, Punjab, Pakistan (July 19, 2016 – July 18, 2017)

Research Interests:

  • Understanding the physiological limitations to crop productivity under field and controlled conditions.
  • Exploring abiotic stress tolerance (drought, salinity, heavy metals, heat) through foliar application of nutrients and trace elements.
  • Identifying morphological, physiological, and biochemical traits for enhanced stress tolerance in crops.
  • Screening germplasm for stress tolerance traits and developing methodologies for productivity enhancement under abiotic stress conditions.

Conclusion:

Considering Dr. Zahoor Ahmad’s research focus, academic background, professional experience, publication record, and contribution to crop physiology under abiotic stress conditions, he seems to be a suitable candidate for the “Best Researcher Award.” His work is significant for improving crop resilience and productivity, making him a valuable contributor to agricultural sciences.

Citations:

  • 1,729 Citations from 1,395 documents
  • 91 Documents authored
  • h-index of 22

Publication Top Notes:

  • Modulating Physiological and Antioxidant Responses in Wheat Cultivars via Foliar Application of Silicon Nanoparticles (SiNPs) Under Arsenic Stress Conditions
    Ahmad, Z., Younis, R., Ahmad, T., Alharby, H.F., Alsamadany, H. (2024). Silicon, 16(12), 5199–5211.
  • Silicon-Mediated Improvement in Maize (Zea mays L.) Resilience: Unrevealing Morpho-Physiological, Biochemical, and Root Attributes Against Cadmium and Drought Stress
    Sabir, A., Waraich, E.A., Ahmad, M., Ahmad, Z., Bibi, S. (2024). Silicon, 16(7), 3095–3109. (1 Citation)
  • Improving Alkaline Stress Tolerance in Maize through Seed Priming with Silicon Nanoparticles: A Comprehensive Investigation of Growth, Photosynthetic Pigments, Antioxidants, and Ion Balance
    Alsamadany, H., Alharby, H.F., Ahmad, Z., Alzahrani, Y.M., Almaghamsi, A. (2024). Silicon, 16(5), 2233–2244.
  • Enhancing the Physiological and Biochemical Potential of Praecitrullus fistulosus L. through Synergistic Action of Biochar and Zinc Oxide Nanoparticles
    Sana, S., Binyamin, A., Ramzan, M., Avila-Quezada, G.D., Abd-Allah, E.F. (2024). Journal of Soil Science and Plant Nutrition.
  • Perspectives of Nanoparticles as Priming Agents for Amelioration of Abiotic Stresses in Crops
    Ahmad, Z., Waraich, E.A., Iqbal, M.A., Ahmed, S., Bano, S. (2024). In The Nanotechnology Driven Agriculture: The Future Ahead (pp. 117–137).
  • Prospects of Nanotechnology for Abiotic and Biotic Stresses Amelioration in Field Crops
    Ahmad, Z., Waraich, E.A., Barutçular, C., Ahmad, M., Bano, S. (2024). In The Nanotechnology Driven Agriculture: The Future Ahead (pp. 67–84).
  • Effect of Form of Silicon and the Timing of a Single Foliar Application on Sugar Beet Yield
    Siuda, A., Artyszak, A., Gozdowski, D., Ahmad, Z. (2024). Agriculture (Switzerland), 14(1), 86.
  • Ecofriendly Management of Insect Pests for Sustainable Agriculture
    Abbasi, A., Asif, A., Ahmad, Z., Saleha, A., Zafar, Z. (2023). In Climate-Resilient Agriculture, Volume 2, pp. 931–957. (1 Citation)
  • Climate Change and Global Crop Production
    Ahmad, Z., Ahmad, T., Abbasi, A., Sana, S., Jameel, J. (2023). In Climate-Resilient Agriculture, Volume 1, pp. 27–56. (1 Citation)
  • Silicon-Mediated Growth, Physiological, Biochemical and Root Alterations to Confer Drought and Nickel Stress Tolerance in Maize (Zea mays L.)
    Ishaq, H., Waraich, E.A., Hussain, S., Ahmad, Z., Saifullah. (2023). Silicon, 15(15), 6579–6589. (1 Citation)

 

 

Radwa El-Behairy | Agricultural Sustainability | Best Researcher Award

Ms. Radwa El-Behairy | Agricultural Sustainability | Best Researcher Award

PhD student, Tanta University, Egypt

Radwa Abdullah Ahmed Abdullah El-Behairy is a dedicated PhD student at the Faculty of Agriculture, Tanta University, Egypt. Her research focuses on integrating AI and GIS to evaluate soil quality and crop suitability in arid areas, aiming to enhance food security sustainably. In addition to her studies, she serves as an assistant lecturer at the Higher Institute for Agricultural Cooperation in Shubra El Kheima.

Profile

Scopus

Orcid

Education 🎓

Radwa Abdullah Ahmed Abdullah El-Behairy is a dedicated scholar in the field of agricultural and soil sciences. She earned her Bachelor of Science degree in Agricultural Science from Tanta University, Egypt, in 2017. Building on her foundational knowledge, she pursued a Master of Science in Soil Science, also at Tanta University, which she completed in 2021. Currently, Radwa is a Ph.D. student at the same institution, where she is focusing on integrating artificial intelligence and geographic information systems to evaluate soil quality and crop suitability in arid areas. Her academic journey is marked by a strong commitment to advancing agricultural practices and sustainability through innovative research methodologies.

Experience 🏫

Radwa Abdullah Ahmed Abdullah El-Behairy is an Assistant Lecturer at the Higher Institute for Agricultural Cooperation in Shubra El Kheima and a PhD student at the Faculty of Agriculture, Tanta University, Egypt. Her research focuses on integrating Artificial Intelligence (AI) and Geographic Information Systems (GIS) to evaluate soil quality and crop suitability in arid regions. With a solid background in soil science and agricultural science, Radwa has published seven research articles, contributing valuable insights into soil management and crop optimization. Her work aims to enhance agricultural productivity and sustainability through innovative technologies.

Research Interests 🔍

Radwa Abdullah Ahmed Abdullah El-Behairy’s research interests encompass a broad spectrum of fields related to agricultural and environmental sciences. Her primary focus is on agricultural sustainability and pedology, where she explores methods to enhance the resilience and productivity of agricultural systems. She employs remote sensing and GIS technologies to monitor and analyze soil and water resources, integrating these with modeling of irrigation water quality to improve resource management. Her work also addresses environmental contamination through advanced artificial intelligence techniques, contributing to assessments of crop suitability and soil quality. Radwa’s expertise in machine learning and deep learning further supports her efforts to develop innovative solutions for optimizing agricultural practices and ensuring environmental sustainability.

Awards 🏆

Training in the research project “Monitoring land and water productivity through remote sensing WaPOR II”

Publications Top Notes 📚

An Accurate Approach for Predicting Soil Quality Based on Machine Learning in Drylands Agriculture, 2024-04-18 | link

A Novel Approach for Predicting Heavy Metal Contamination Based on Adaptive Neuro-Fuzzy Inference System and GIS in an Arid Ecosystem Agronomy, 2023-07-15 | link

Artificial Intelligence Integrated GIS for Land Suitability Assessment of Wheat Crop Growth in Arid Zones to Sustain Food Security Agronomy, 2023-04-29 |link

Assessment of Potential Heavy Metal Contamination Hazards Based on GIS and Multivariate Analysis in Some Mediterranean Zones Agronomy, 2022-12-19 | link

Combination of GIS and Multivariate Analysis to Assess the Soil Heavy Metal Contamination in Some Arid Zones
Agronomy, 2022-11-16 | link

 

 

 

 

 

 

 

 

Alireza Sharifi | Crop yield prediction | Best Researcher Award

Assoc Prof Dr Alireza Sharifi |  Crop yield prediction |  Best Researcher Award

Dr at  Shahid Rajaee Teacher Training, Iran

Dr. Alireza Sharifi is an Associate Professor at Shahid Rajaee Teacher Training University, specializing in geosciences and remote sensing applications for Precision Agriculture. He obtained his graduate degree from the University of Tehran and has focused his research on Earth Observation Programs, particularly using satellite imagery. Dr. Sharifi has led multiple research projects funded by prestigious organizations such as the National Natural Science Foundation of China, contributing significantly to the fields of hyperspectral image classification, crop mapping, and vegetation monitoring. With numerous publications and a strong academic background, he continues to advance innovative approaches in agricultural sustainability through technology.

Profile:

📚 Academic Background:

Dr. Alireza Sharifi graduated from the University of Tehran with expertise in geosciences and remote sensing applications, focusing on Earth Observation Programs for Precision Agriculture using satellite imagery.

🔍 Research Focus:

His research spans various projects, including hyperspectral image classification, spatio-temporal analysis of forest fires, and integration of satellite images for crop mapping. He has published extensively in reputed journals and holds multiple editorial appointments.

📊 Citations:

  • Citations: 1970 (1878 since 2019)
  • h-index: 28 (since 2019)
  • i10-index: 40 (since 2019)
📄 Publication:

1. Comparison the accuracies of different spectral indices for estimation of vegetation cover fraction in sparse vegetated areas
S Barati, B Rayegani, M Saati, A Sharifi, M Nasri
The Egyptian Journal of Remote Sensing and Space Science 14 (1), 49-56, 2011
Citations: 221

2. Hyperspectral image classification using a hybrid 3D-2D convolutional neural networks
S Ghaderizadeh, D Abbasi-Moghadam, A Sharifi, N Zhao, A Tariq
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Citations: 132

3. Yield prediction with machine learning algorithms and satellite images
A Sharifi
Journal of the Science of Food and Agriculture 101 (3), 891-896, 2021
Citations: 105

4. Spatio-temporal analysis of forest fire events in the Margalla Hills, Islamabad, Pakistan using socio-economic and environmental variable data with machine learning methods
A Tariq, H Shu, S Siddiqui, I Munir, A Sharifi, Q Li, L Lu
Journal of Forestry Research 33 (1), 183-194, 2022
Citations: 76

5. Crop type classification by DESIS hyperspectral imagery and machine learning algorithms
N Farmonov, K Amankulova, J Szatmári, A Sharifi, D Abbasi-Moghadam, …
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
Citations: 62

6. Assessing spatio-temporal mapping and monitoring of climatic variability using SPEI and RF machine learning models
SS Wahla, JH Kazmi, A Sharifi, SA Shirazi, A Tariq, H Joyell Smith
Geocarto International 37 (27), 14963-14982, 2022
Citations: 62

7. Multiscale dual-branch residual spectral–spatial network with attention for hyperspectral image classification
S Ghaderizadeh, D Abbasi-Moghadam, A Sharifi, A Tariq, S Qin
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
Citations: 60

8. Evaluation of vegetation indices and phenological metrics using time-series MODIS data for monitoring vegetation change in Punjab, Pakistan
P Hu, A Sharifi, MN Tahir, A Tariq, L Zhang, F Mumtaz, SHIA Shah
Water 13 (18), 2550, 2021
Citations: 59

9. Flash flood susceptibility assessment and zonation by integrating analytic hierarchy process and frequency ratio model with diverse spatial data
A Tariq, J Yan, B Ghaffar, S Qin, BG Mousa, A Sharifi, ME Huq, M Aslam
Water 14 (19), 3069, 2022
Citations: 57

10. Remote sensing satellite’s attitude control system: rapid performance sizing for passive scan imaging mode
A Kosari, A Sharifi, A Ahmadi, M Khoshsima
Aircraft Engineering and Aerospace Technology 92 (7), 1073-1083, 2020
Citations: 57

11. Flood mapping using relevance vector machine and SAR data: A case study from Aqqala, Iran
A Sharifi
Journal of the Indian Society of Remote Sensing 48 (9), 1289-1296, 2020
Citations: 55

12. Modeling and predicting land use land cover spatiotemporal changes: A case study in Chalus Watershed, Iran
S Jalayer, A Sharifi, D Abbasi-Moghadam, A Tariq, S Qin
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
Citations: 54

13. Integration of Sentinel 1 and Sentinel 2 satellite images for crop mapping
S Felegari, A Sharifi, K Moravej, M Amin, A Golchin, A Muzirafuti, A Tariq, …
Applied Sciences 11 (21), 10104, 2021
Citations: 54

14. Development of a method for flood detection based on Sentinel‐1 images and classifier algorithms
A Sharifi
Water and Environment Journal 35 (3), 924-929, 2021
Citations: 54

15. Estimation of forest biomass using multivariate relevance vector regression
A Sharifi, J Amini, R Tateishi
Photogrammetric Engineering & Remote Sensing 82 (1), 41-49, 2016
Citations: 54

16. Agro climatic zoning of saffron culture in Miyaneh city by using WLC method and remote sensing data
A Zamani, A Sharifi, S Felegari, A Tariq, N Zhao
Agriculture 12 (1), 118, 2022
Citations: 50

17. Forest biomass estimation using synthetic aperture radar polarimetric features
A Sharifi, J Amini
Journal of Applied Remote Sensing 9 (1), 097695-097695, 2015
Citations: 49

18. Remotely sensed vegetation indices for crop nutrition mapping
A Sharifi
Journal of the Science of Food and Agriculture 100 (14), 5191-5196, 2020
Citations: 47

19. Using Sentinel-2 data to predict nitrogen uptake in maize crop
A Sharifi
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020
Citations: 47

20. Speckle reduction of PolSAR images in forest regions using fast ICA algorithm
A Sharifi, J Amini, JT Sri Sumantyo, R Tateishi
Journal of the Indian Society of Remote Sensing 43, 339-346, 2015
Citations: 47