Nadezda Verkhovtseva | Soil Pollution | Best Researcher Award

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Prof Dr Nadezda Verkhovtseva |  Soil Pollution |  Best Researcher Award

professor at MSU (Moscow State University named after M.V. Lomonosov,  Russia

Dr. N. Verkhovtseva is a distinguished Professor at the Department of Agrochemistry and Plant Biochemistry, Lomonosov Moscow State University (MSU). She pursued her studies in Agrochemistry at MSU, where she also earned her Ph.D. in 1975. Dr. Verkhovtseva has had a notable academic journey, having taught at Yaroslavl State University before joining the esteemed research group led by Kondrat’eva at MSU. In 1994, she obtained her Doctor of Science degree in Microbiology and subsequently secured the position of Professor at MSU’s Faculty of Soil Science. Her prolific career includes the publication of over 180 articles in both Russian and international journals. Dr. Verkhovtseva’s research contributions have earned her a significant citation index, with 46 citations in Web of Science, 57 in Scopus, and 984 in Science Index. She has authored eight books, holds one patent, and serves as the executive editor of the journal Problems of Agrochemistry and Ecology. Her professional memberships include the Soil Science Society. Dr. Verkhovtseva’s expertise and dedication have significantly advanced the fields of agrochemistry and plant biochemistry.

Profile

 

🎓 Academic and Professional Background:

Dr. N. Verkhovtseva studied Agrochemistry at Lomonosov Moscow State University (MSU), Russia. After graduation, she entered the graduate school of the same university and received her PhD in Agrochemistry in 1975. She then taught at Yaroslavl State University, Yaroslavl, Russia, before joining the research academic group of Kondrat’eva at MSU. In 1994, she received her Doctor of Science degree in Microbiology from MSU and became a professor in the Department of Agrochemistry and Plant Biochemistry, Faculty of Soil Science. She has published over 180 articles in both Russian and international journals.

🔬 Research and Innovations:

  • Citation Index: Web of Science: 46, Scopus: 57, Science index: 984
  • Books Published (ISBN): Eight
  • Patents: One published/under process
  • Journals Published (SCI, Scopus, etc.): 180

 

📚 Areas of Research:

  • Agrochemistry
  • Plant Biochemistry
  • Microbiology

 

🧪 Research Focus: Soil Pollution

Dr. Verkhovtseva’s research primarily focuses on soil pollution, investigating the impacts of contaminants on soil health and plant biochemistry. Her work aims to develop effective strategies for mitigating soil pollution and enhancing soil remediation techniques. Her contributions in this area have been instrumental in understanding the complex interactions between pollutants and soil ecosystems.

Publication Top Notes:

1. Effect of an Equal Dose of Polymetallic Pollution on the Microbiological Characteristics of Two Soils with Different Organic Carbon Contents

2. Metabolomic Analysis of Rhizosphere Soil Fertility in Maize (Zea mays) at Milking Stage

3. Physical-Tomographic Characteristics and Structure of Bacterial Community of the Agrophysical System “Germinating Roots—Pore Space of Soils” (Physical Model Experiment)

4. Structure of the Soil Pore Space in the Seedling Bed Before the Seedling Stage: Studies Using the Microtomography Method

5. X-ray Computed Tomography of the Structure of Roots and Dynamics of Soil Biota in the Early Growth Stages of Barley (Hordeum vulgare L.)

6. Aggregate Formation in a Kaolinite Suspension during Microbiological Modification of Clay Surface

7. Physical and Microbiological Aspects of the Soil Seed Bed in the Early Formation of the Barley Root System (Hordeum vulgare L.): Tomographic Studies

8. The Effect of Ericoid Mycorrhizal and Ectomycorrhizal Plants on Soil Properties of Grass Meadow in Tundra of the Khibiny Mountains

9. Formation of Microaggregates in Kaolinite Suspension Inoculated by Bacillus velezensis (SEM-investigations)

10. Chemodiagnostic by Lipid Analysis of the Microbial Community Structure in Trace Metal Polluted Urban Soil

 

Maryam Yousefi | Sustainable Agriculture | Best Researcher Award

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Dr Maryam Yousefi |  Sustainable Agriculture |  Best Researcher Award

Postdoc at  ZALF,  Germany

Dr. Maryam Yousefi is a prominent researcher specializing in environmental science and agricultural sustainability. She is currently a postdoctoral researcher at the Leibniz Centre for Agricultural Landscape Research (ZALF) in Berlin, Germany, focusing on “Living Labs in Agricultural Landscapes” under the supervision of Prof. Frank Ewert. Previously, she worked at ETH Zurich’s Institute of Terrestrial Ecosystems, where she explored “Enhancing biodiversity & resilience in crop production,” supervised by Prof. Jaboury Ghazoul and Prof. Johan Six.

Profile:

🎓 Education:

  • Ph.D. in Environmental Science
    Shahid Beheshti University, Iran
    2015-2021

    • Visitor, Autonomous University of Barcelona, Spain (2018-2019)
  • M.S. in Natural Resource Engineering – Land Use Planning and Assessment
    Birjand University, Iran
    2010-2012
  • B.S. in Natural Resource Engineering – Environmental Science
    Hakim Sabzevari University, Iran
    2008-2010
  • A.S. in Environmental Science
    Birjand University, Iran
    2004-2006

🏆 Honors and Awards:

  1. Ranked 1st among B.S. students in Environmental Science, Hakim Sabzevari University.
  2. Granted direct admission to M.S. program by Birjand University’s Talent Student Office.
  3. Active member of the Young Researchers Club (2010-2018).
  4. Ranked 3rd among ~2000 participants in the Iranian Ph.D. entrance exam.

🔬 Academic and Project Experience:

  • Collaborator – Environmental Impact Assessment Guidelines (Iran)
    2020-2021
  • Project Manager – Agricultural Planning (Qazvin Province, Iran)
    2020
  • Project Manager – Land Use Planning (Gilan & Qazvin Provinces, Iran)
    2015-2018
  • Research Assistant – Shahid Beheshti University, Tehran, Iran
    2016-2017
  • Lecturer – Payam Noor University, Iran
    2013

🌿 Sustainable Agriculture Research Focus:

    • Biodiversity & Resilience: Enhancing biodiversity and resilience in crop production systems to improve sustainability and productivity.
    • Ecosystem Services: Evaluating and optimizing ecosystem services provided by agricultural landscapes, such as pest control and soil health.
    • Agri-environmental Schemes: Assessing the effectiveness of intercropping and other agri-environmental schemes to support sustainable farming practices.
    • Living Labs: Implementing and studying living labs in agricultural landscapes to test and promote sustainable agricultural practices.
    • Landscape Ecological Modeling: Using landscape ecological models to understand and manage landscape carrying capacity and environmental impacts of agricultural activities.
    • Social-Ecological Systems: Exploring the interactions between social and ecological systems to develop integrated approaches for sustainable land use and management.

Citations:

  • Total Citations: 255
  • Citations Since 2019: 235
  • h-index: 9
  • i10-index: 9

Publication Top Notes:

  • Modelling Landscape Ecological Assessments of Land Use and Cover Change Scenarios: Application to the Bojnourd Metropolitan Area (NE Iran)
    • Authors: A Darvishi, M Yousefi, J Marull
    • Journal: Land Use Policy
    • Citations: 62
    • Year: 2020
  • Convenient Landfill Site Selection by Using Fuzzy Logic and Geographic Information Systems: A Case Study in Bardaskan, East of Iran
    • Authors: A Khorram, M Yousefi, SA Alavi, J Farsi
    • Journal: Health Scope
    • Citations: 45
    • Year: 2015
  • Land Use Change Detection Using Remote Sensing and Artificial Neural Network: Application to Birjand, Iran
    • Authors: M Ahmadizadeh, M Yousefi
    • Journal: Computational Ecology and Software
    • Citations: 28
    • Year: 2014
  • An Energy-Landscape Integrated Analysis to Evaluate Agroecological Scarcity
    • Authors: M Yousefi, A Darvishi, R Padró, S Barghjelveh, NM Dinan, J Marull
    • Journal: Science of the Total Environment
    • Citations: 21
    • Year: 2020
  • Assessing Levels, Trade-offs, and Synergies of Landscape Services in the Iranian Province of Qazvin: Towards Sustainable Landscapes
    • Authors: A Darvishi, M Yousefi, NM Dinan, P Angelstam
    • Journal: Landscape Ecology
    • Citations: 16
    • Year: 2022
  • Comparison of Two Biophysical Indicators Under Different Landscape Complexity
    • Authors: M Yousefi, A Darvishi, E Tello, S Barghjelveh, NM Dinan, J Marull
    • Journal: Ecological Indicators
    • Citations: 14
    • Year: 2021
  • Assessment and Spatial Planning of Landscape Ecological Connectivity for Biodiversity Management (Case Study: Qazvin Province)
    • Authors: A Darvishi, NM Dinan, S Barghjelveh, M Yousefi
    • Journal: Iranian Journal of Applied Ecology
    • Citations: 14
    • Year: 2020
  • Investigating the Effect of Socio-economic Disturbance Resulting from Human Activities on Landscape Ecological Function Using HANPP Index (Case Study: Qazvin Province)
    • Authors: A Darvishi, M Yousefi, NM Mobarghei Dinan
    • Journal: Journal of Natural Environment
    • Citations: 13
    • Year: 2020
  • Evaluating the Correlation Between Pollination Ecosystem Service and Landscape Pattern Metrics (Case Study: Qazvin Province)
    • Authors: A Darvishi, M Yousefi, DN Mobargae
    • Journal: Iranian Journal of Applied Ecology
    • Citations: 10
    • Year: 2021
  • Assessment of Light Pollution in Bojnord City Using Remote Sensing Data
    • Authors: A Khorram, M Yousefi, M Fardad
    • Journal: International Journal of Environmental Health Engineering
    • Citations: 6
    • Year: 2014

 

Yeongmi Jang | Agriculture | Best Researcher Award

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Dr Yeongmi Jang |  Agriculture |  Best Researcher Award

PhD at  Chungnam National University, South Korea

Yeongmi Jang is a PhD candidate in the Department of Crop Science at Chungnam National University, Republic of Korea, expecting to complete her degree in August. Her research focuses on Ecology, and she has contributed to various scientific journals, including MDPI publications such as Plants, Agronomy, and Agriculture. Although she has not yet accrued professional work experience, her scholarly efforts have earned her a citation index of 19. Yeongmi is in the process of developing her professional network and contributions, with no current consultancy, publications, or patents to her name.

Profile:

Academic Background:

Yeongmi Jang will complete a PhD in August from Chungnam National University, focusing on Ecology. Although Yeongmi does not have work experience yet, their academic journey promises future contributions to the field.

Research Focus:

Yeongmi Jang’s research in agriculture predominantly explores the effects of environmental stressors and agronomic practices on crop growth and physiology. Key areas of investigation include the impact of long-term salinity stress on mono and mixed crops, and the role of magnesium and calcium sulfate in mitigating such stress in forage crops. Jang has also contributed to understanding the effects of planting density and nitrogen fertilization on forage rice growth in both reclaimed and conventional paddy fields. Additionally, their research addresses the optimal harvest times for maximizing forage value and yield of winter crops and forage rice in South Korea. This work aims to enhance agricultural productivity and sustainability in challenging environmental conditions.

Publication Top Notes:

1. Evaluating the Effects of Long-Term Salinity Stress on the Growth and Physiology of Mono and Mixed Crops
Journal: Agronomy
Date: 2024-01-27
DOI: 10.3390/agronomy14020287
Contributors: Khulan Sharavdorj; Ser-Oddamba Byambadorj; Yeongmi Jang; Youngjik Ahn; Jin-Woong Cho

2. Effects of Planting Density and Nitrogen Fertilization on the Growth of Forage Rice in Reclaimed and General Paddy Fields
Journal: Plants
Date: 2023-12-19
DOI: 10.3390/plants13010013
Contributors: Yeongmi Jang; Khulan Sharavdorj; Youngjik Ahn; Jinwoong Cho

3. Effects of Planting Density and Nitrogen Fertilization on the Growth of Forage Rice in Reclaimed and General Paddy Fields
Date: 2023-11-08
Preprint DOI: 10.20944/preprints202311.0454.v1
Contributors: Yeongmi Jang; Khulan Sharavdorj; Youngjik Ahn; Jinwoong Cho

4. Application of Magnesium and Calcium Sulfate on Growth and Physiology of Forage Crops under Long-Term Salinity Stress
Journal: Plants
Date: 2022-12-18
DOI: 10.3390/plants11243576
Contributors: Khulan Sharavdorj; Ser-Oddamba Byambadorj; Yeongmi Jang; Jin-Woong Cho

5. Growth and Forage Value of Two Forage Rice Cultivars According to Harvest Time in Reclaimed Land of South Korea
Journal: Agronomy
Date: 2022-12-08
DOI: 10.3390/agronomy12123118
Contributors: Yeongmi Jang; Khulan Sharavdorj; Priscilla Nadalin; Suhwan Lee; Jinwoong Cho

6. Effects of Harvest Time on the Yield and Forage Value of Winter Forage Crops in Reclaimed Lands of Korea
Journal: Agriculture
Date: 2022-06-09
DOI: 10.3390/agriculture12060830
Contributors: Yeongmi Jang; Bumsik Choi; Khulan Sharavdorj; Suhwan Lee; Jinwoong Cho

 

Ahmad Sharifi | Plant Biotechnology | BioAgri Innovator Excellence Award

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Assist Prof Dr Ahmad Sharifi |  Plant Biotechnology  |  BioAgri Innovator Excellence Award

Research Institute for Industrial Biotechnology, Iranian Academic Centre for Education, Culture and Research (ACECR)- Khorasan Razavi Branch at  Horticultural Plants Biotechnology Department,  Iran

Dr. Ahmad Sharifi is a dedicated faculty member at the Ornamental Plant Biotechnology Department of the Iranian Academic Center for Education, Culture & Research (ACECR). With a PhD in Agricultural Biotechnology from Ferdowsi University of Mashhad (2015), Dr. Sharifi also holds an MSc (2003) and a BSc (2000) in Agricultural Sciences from Ferdowsi University of Mashhad and the Agricultural Sciences and Natural Resources University of Gorgan, respectively.

Profile:

Academic Qualifications:

🎓 BSc: Agricultural Sciences and Natural Resources, University of Gorgan, 2000
🎓 MSc: Ferdowsi University of Mashhad, 2003
🎓 PhD: Ferdowsi University of Mashhad, 2015

 

Areas of Expertise:

🌿 Plant Biotechnology
🌱 Plant Tissue Culture

 

Research Focus: Plant Biotechnology

  • Plant Tissue Culture:
    • Development and optimization of in vitro culture techniques for ornamental plants.
    • Somatic embryogenesis and organogenesis in various plant species.
    • Micropropagation protocols for large-scale production of disease-free plants.
  • Genetic Engineering:
    • Genetic transformation methods to enhance desirable traits in ornamental plants, such as disease resistance and improved flower quality.
    • CRISPR/Cas9 and other gene-editing technologies for targeted genetic modifications.
  • Molecular Biology:
    • Analysis of gene expression patterns and molecular pathways involved in plant growth and development.
    • Use of molecular markers for plant breeding and genetic diversity studies.
  • Biotechnological Applications:
    • Production of secondary metabolites and phytochemicals through biotechnological approaches.
    • Application of biotechnology for sustainable agricultural practices and environmental conservation.
  • Bioreactor Systems:
    • Utilization of bioreactor systems for the mass propagation of ornamental plants.
    • Scaling up plant tissue culture techniques for commercial applications.

Publication Top Notes:

1. Optimization of the in-vitro culture protocol of Haworthiopsis viscosa and Haworthia truncata var. truncate

  • Authors: Kharrazi, M., Sargazi Moghaddam, Z., Moradian, M., Khadem, A., Sharifi, A.
  • Journal: South African Journal of Botany, 2024, 169, pp. 506–514

2. Micropropagation and ex vitro rooting of three ZZ plant (Zamioculcas zamiifolia Engl.) cultivars

  • Authors: Kharrazi, M., Moradian, M., Moghaddam, Z.S., Khadem, A., Sharifi, A.
  • Journal: In Vitro Cellular and Developmental Biology – Plant, 2023, 59(1), pp. 129–139

3. Role of AGAMOUS Gene in Increasing Tepals of Amaryllis

  • Authors: Dastmalchi, S., Moshtaghi, N., Sharifi, A.
  • Journal: Journal of Agricultural Science and Technology, 2023, 25(4), pp. 975–988

4. Auxin sensitivity improves production of rosmarinic acid in transformed hairy roots of Lavandula angustifolia

  • Authors: Khadem, A., Bagheri, A., Moshtaghi, N., Akhar, F.K., Sharifi, A.
  • Journal: Biological Communications, 2022, 67(3), pp. 160–167

5. In vitro propagation and callus induction of medicinal endangered plant meadow rue (Thalictrum minus L.) for producing berberine

  • Authors: Moghaddam, Z.S., Moshtaghi, N., Sharifi, A., Zahedi, A., Khadem, A.
  • Journal: Journal of Medicinal Plants, 2022, 21(81), pp. 92–101

 

 

 

 

Zaryab Murad | Plant Growth | Young Scientist Award

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Mr Zaryab Murad |  Plant Growth  |  Young Scientist Award

Ph.D. Scholar at  Huazhong Agriculture University, China

Zaryab Murad, born on April 14, 1996, is a Pakistani national currently residing in Wuhan, Hubei, China. With a solid academic background in Soil and Environmental Sciences, he is pursuing his Doctor of Philosophy (Ph.D.) at Huazhong Agriculture University. Zaryab completed both his Master of Sciences (Hons) and Bachelor of Sciences (Hons) in Agriculture at The University of Agriculture Peshawar, Pakistan. His research focuses on the effects of bentonite clay and biochar on soil contamination and plant growth. Professionally, he has served as a Field Survey Project Manager at TAMEER-E-KHALAQ Foundation, where he works towards improving food security and agricultural practices. Additionally, he has held the position of Agriculture Policy Officer at the Agriculture Extension Department in KP, Pakistan. Fluent in Urdu and proficient in English, Zaryab has been recognized for his contributions to the field, including being a Gold Medalist at his alma mater. His technical skills include expertise in MS Office, Endnote, Statistics 8.1, Graphpad, and Sigmaplot.

Profile: 

Education and Training:

Zaryab Murad is a Doctoral candidate in Soil Science at Huazhong Agriculture University, Wuhan, China, with a focus on soil and environmental sciences. He completed his Master of Sciences (Hons) and Bachelor of Sciences (Hons) in Agriculture at The University of Agriculture Peshawar, Pakistan. His research includes the effects of bentonite clay and biochar on soil contamination and plant growth. He has gained hands-on experience with various soil analysis techniques, including using Flame Photometers and Atomic Absorption Spectrophotometers.

Work Experience:

Currently, Zaryab is a Field Survey Project Manager at TAMEER-E-KHALAQ Foundation, where he focuses on agricultural development and food security. He has previously served as an Agriculture Policy Officer at the Agriculture Extension Department in KP, Pakistan. His work involves enhancing production, facilitating value addition, and improving crop varieties.

Honors and Awards:

  • Gold Medalist, The University of Agriculture Peshawar, 2022

Certificates and Trainings:

  • Attended workshops and congresses on sustainable soil management and weed science.
  • Participated in the HZAU Happy Festival at Huazhong Agriculture University.

Research Focus: Plant Growth

Zaryab Murad’s research focuses on enhancing plant growth through innovative soil management techniques. His work primarily investigates the effects of soil amendments, such as bentonite clay and biochar, on the phytoavailability of heavy metals and overall plant health. Zaryab’s research aims to improve crop yields and soil fertility while mitigating contamination effects. His studies include evaluating how biochar and other amendments can stabilize heavy metals in soil and enhance the growth of various crops, particularly in contaminated environments. This research contributes to sustainable agricultural practices by improving soil conditions and plant resilience against pollutants.

Publication Top Notes:

  • Murad, Z., Bibi, S., Ahmad, S.E.Y., Manan, U., & Younas, M. (2024). Stabilization of Cd in Soil by Biochar and Growth of Rice (Oryza sativa) in Artificially Contaminated Soil. Sarhad Journal of Agriculture, 40(1), 231–245.
  • Khan, U., Irfan, M., Murad, Z., Waleed, M., & Kamal, A. (2023). Enhancing Lettuce Growth and Cadmium and Lead Tolerance Through Biochar and Bacteria. Gesunde Pflanzen, 75(6), 2685–2696.
  • Ilyas, M., Khan, M.J., Murad, Z., Ullah, A., & Farhan. (2023). Biofortification of Iron in Wheat Varieties Using Different Methods of Application. Gesunde Pflanzen, 75(5), 2177–2185.
  • Murad, Z., Ahmad, I., Waleed, M., Hashim, S., & Bibi, S. (2022). Effect of Biochar on Immobilization of Cadmium and Soil Chemical Properties. Gesunde Pflanzen, 74(1), 151–158.
  • Tariq, M., Khan, M.O., Hussain, A., Khalil, M.K., Muhammad, S., & Murad, Z. (2021). Impact of Soil and Foliar Application of Various Zinc Sources on the Yield and Uptake by Onion Under Agroclimatic Condition of Swat. International Journal of Agricultural and Statistical Sciences, 17, 2363–2376.

 

Anna Rita Dipierro | Agricultural | Best Researcher Award

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Dr Anna Rita Dipierro |  Agricultural  |  Best Researcher Award

Research Fellow at  University of Calabria, Italy

Anna Rita Dipierro, born on February 26, 1997, in Castellana Grotte, Italy, is a Research Fellow in Econometrics at the University of Calabria, Arcavacata di Rende, Cosenza, Italy, and the University of Salento, Lecce, Italy. She holds a Ph.D. in Economics and Management of Sustainability and Innovation from LUM “G. Degennaro” University, where she also completed her Master’s and Bachelor’s degrees in Economics and Management, all with high distinction.

Profile:

Education:

  • Ph.D. in Economics and Management of Sustainability and Innovation
    🎓 LUM “G. Degennaro” University, Casamassima, Bari, Italy, July 2024
    Thesis: Combining operational research and artificial intelligence to address performance evaluation under dynamic taxonomy of risks
    Tutor: Prof. P. Toma
    Internal PhD Commission: Prof. K. De Witte, Prof. G. Secundo, Prof. P. Toma
  • Master’s Degree (cum laude) in Economics and Management (LM77)
    🎓 LUM “G. Degennaro” University, Casamassima, Bari, Italy, October 2020
    Thesis: Geographical Indications in Agri-food: an econometrical and geospatial approach through R-studio and QGIS
    Tutor: Prof. P. Toma
  • Bachelor of Science (cum laude) in Economics and Management (L18)
    🎓 LUM “G. Degennaro” University, Casamassima, Bari, Italy, October 2018
    Thesis: A step away from disaster: State-saving measures to overcome the crisis of the third millennium
    Tutor: Prof. C. Bussoli

Training Schools and Workshops:

  • 🏫 Summer school “Network econometrics,” Venice, Italy, July 2024
  • 🏫 Course “Tidyverse: R for Data Science,” Lecce, Italy, February 2024
  • 🏫 Course “Classifying Higher Education Institutions using Latent Class Analysis,” Lugano, Switzerland, March 2023
  • 🏫 Summer school “Machine Learning: what is good for?” Lugano, Switzerland, August 2022
  • 🏫 Workshop “Visual Thinking” Lugano, Switzerland, August 2022
  • 🏫 Summer School “Panel Data Econometrics: theory and applications” Bertinoro, Italy, July 2021

Teaching Experience:

  • Adjunct Professor of “Econometric models for human resource management,” Master’s level in “Human Resources Management,” LUM School of Management, Casamassima, Italy (A.A. 2022/2023)
  • Adjunct Professor of “Econometrics,” Master’s degree in Economics and Management (LM77), LUM “G. Degennaro” University, Casamassima, Italy (A.A. 2022/2023)

Membership to Scientific Societies:

  • The Econometric Society (2023 – Present)
  • Italian Economics Society (2023 – Present)
  • Italian Econometrics Society (2021 – Present)

Research Focus in Agriculture:

Anna Rita Dipierro’s agricultural research is centered on the efficiency and sustainability of the agricultural sector, particularly within the European context. Her work involves analyzing the intersection of efficiency, sustainability, and environmental risk in agricultural practices. She employs econometric and geospatial techniques to evaluate and improve the performance of agri-food firms, with a focus on geographical indications and their impact on agricultural economics.

Publication Top Notes:

What Lies Behind the Success of Italian GIs Products? Questioning Tradition in Consortia via Aggregated Conditional Efficiency
Authors: C. Colamartino, A.R. Dipierro, P. Toma, M. Frittelli
Journal: Socio-Economic Planning Sciences, Vol. 87, Article 101578 (2023)
This paper explores the factors contributing to the success of Italian Geographical Indications (GIs) products by examining traditional practices within consortia and utilizing aggregated conditional efficiency models.

2. What Lies Behind Perceptions of Corruption? A Cultural Approach
Authors: A.R. Dipierro, A. Rella
Journal: Social Indicators Research, Vol. 172 (2), pp. 371-391 (2024)
This study investigates the cultural determinants influencing perceptions of corruption, providing a comprehensive analysis using a cultural framework.

3. The Underlying Signals of Efficiency in European Universities: A Combined Efficiency and Machine Learning Approach
Authors: A.R. Dipierro, K. De Witte
Journal: Studies in Higher Education, pp. 1-20 (2024)
This research combines efficiency analysis and machine learning techniques to identify underlying factors contributing to the operational efficiency of European universities.

4. European Agricultural Sector: The Tortuous Path Across Efficiency, Sustainability and Environmental Risk
Authors: A. Mergoni, A.R. Dipierro, C. Colamartino
Journal: Socio-Economic Planning Sciences, Vol. 92, Article 101848 (2024)
The paper addresses the challenges faced by the European agricultural sector, focusing on balancing efficiency, sustainability, and managing environmental risks.

5. The Efficient Path of the Protection Consortia to Manage Territorial Risks and Protect the Quality of GIs
Authors: C. Colamartino, A.R. Dipierro
Published Link: Article (2024)
This publication examines how protection consortia can efficiently manage territorial risks and ensure the quality of Geographical Indications (GIs) through strategic measures.

6. Within the Banks: The Determinants of ESG-Controversies
Author: A.R. Dipierro
Book: Digital Transformation: The Harmonic Convergence of People, Culture, Process… (2022)
This work analyzes the factors leading to Environmental, Social, and Governance (ESG) controversies within banks, emphasizing the role of digital transformation.

These publications highlight Anna Rita Dipierro’s diverse research interests, ranging from agricultural economics and the success of GIs products to higher education efficiency and perceptions of corruption.

 

Alireza Sharifi | Crop yield prediction | Best Researcher Award

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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

 

Kuradusenge Martin | Crop Yield | Best Researcher Award

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Dr  Kuradusenge  Martin |  Crop Yield  |  Best Researcher Award

Lecturer at  University of Rwanda, Rwanda

Dr. Martin Kuradusenge is a lecturer at the University of Rwanda’s College of Science and Technology, School of ICT, Department of Computer and Software Engineering. He holds a PhD in Internet of Things (Wireless Intelligent Sensor Network) from the University of Rwanda. Additionally, he earned a Master’s degree in Communications Management (2009) and a BSc. degree in Computer Engineering and Information Technology (2002) from the University of Rwanda (formerly Kigali Institute of Science and Technology). He also possesses a Postgraduate Certificate in Learning and Teaching in Higher Education from the University of Rwanda, College of Education.

Profile

🎓 Education:

PhD in Internet of Things (University of Rwanda), MSc in Communications Management, BSc in Computer Engineering and Information Technology.

🌍 Research:

Currently leads projects on IoT-based crop yield prediction and early warning systems for natural disasters. He has published extensively, notably on machine learning applications in agriculture and environmental management.

Research Focus Crop Yield:

Dr. Martin Kuradusenge’s research includes a focus on Crop Yield prediction using IoT and machine learning models. He applies these technologies to enhance agricultural productivity and food security, particularly in Rwanda. His work integrates data-driven approaches to optimize crop management and mitigate environmental risks affecting yields.

Citations:

  • Total Citations: 158
  • Citations Since 2019: 156
  • h-index: 4
  • i10-index: 3

📄 Publication:

  • Crop yield prediction using machine learning models: Case of Irish potato and maize
    • Published in Agriculture, 2023
  • Rainfall-induced landslide prediction using machine learning models: The case of Ngororero District, Rwanda
    • Published in International Journal of Environmental Research and Public Health, 2020
  • Comparison of random forest and support vector machine regression models for forecasting road accidents
    • Published in Scientific African, 2023
  • Experimental Study of Site‐Specific Soil Water Content and Rainfall Inducing Shallow Landslides: Case of Gakenke District, Rwanda
    • Published in Geofluids, 2021
  • SMART-CYPS: An intelligent Internet of Things and Machine Learning powered crop yield prediction system for food security
    • Published in 2024
  • Risks Reduction of Rainfall-Induced Landslides-A Site-Specific Early Warning System (SSEWS)
    • Published in ICT Systems and Sustainability, 2022
  • Revolutionizing Coffee Farming: A Mobile App with GPS-Enabled Reporting for Rapid and Accurate On-Site Detection of Coffee Leaf Diseases Using Integrated Deep Learning
    • Published in Software, 2024
  • Predictive modelling and alert system for rainfall induced landslides
    • Published by University of Rwanda (College of Science and Technology), 2022

 

Vladimir Verzhuk | Sustainable Crop Production | Best Researcher Award

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Dr Vladimir Verzhuk |  Sustainable Crop Production |  Best Researcher Award

Senior researcher at N.I. Vavilov All-Russian Institute of Plant Genetic Resources (VIR) St. Petersburg, Russia

Verzhuk Vladimir Grigorevich is a Senior Researcher at the N.I. Vavilov All-Russian Institute of Plant Genetic Resources (VIR) in St. Petersburg, Russia. He holds a Candidate of Biological Sciences degree and has been a pivotal figure in the field of plant cryopreservation since completing his postgraduate studies at VIR in 1976.

 

Profile:

Academic and Professional Background:

Verzhuk Vladimir Grigorevich, a Candidate of Biological Sciences, is a Senior Researcher at the Laboratory of Long-term Storage of Plant Genetic Resources of VIR. He graduated from the Crimean Agricultural Institute in 1971 and completed his postgraduate studies at VIR in 1976, focusing on photosynthesis and productivity. Since 2000, he has led the cryopreservation group, specializing in low-temperature storage of vegetative shoots, buds, and pollen of fruit crops.

Areas of Research:

Verzhuk’s research focuses on developing and improving cryopreservation methods for the genetic resources of vegetatively propagated crops at VIR.

Sustainable Crop Production Research Focus:

Verzhuk’s research emphasizes sustainable crop production through the development of cryopreservation methods for genetic resources. His work ensures the long-term viability and diversity of crop species, contributing to the sustainability of agricultural systems by preserving genetic material that can adapt to changing environmental conditions and stressors.

Publication Top Notes:

  • Conservation of the Bird Cherry (Padus Mill.) Germplasm by Cold Storage and Cryopreservation of Winter Cuttings
    • Journal: Biology
    • Date: 2023-07
    • DOI: 10.3390/biology12081071
    • Contributors: Vladimir Verzhuk, Sergey Murashev, Liubov Novikova, Stepan Kiru, Svetlana Orlova
  • Post-Cryogenic Viability of Peach (Persica vulgaris Mill.) Dormant Buds from the VIR Genetic Collection
    • Journal: Agriculture
    • Date: 2022-12
    • DOI: 10.3390/agriculture13010111
    • Contributors: Vladimir Verzhuk, Victor Eremin, Taisya Gasanova, Oksana Eremina, Liubov Novikova, Galina Filipenko, Maxim Sitnikov, Alexander Pavlov
  • Viability of Red (Ribes rubrum L.) and Black (Ribes nigrum L.) Currant Cuttings in Field Conditions after Cryopreservation in Vapors of Liquid Nitrogen
    • Journal: Agriculture
    • Date: 2020-10
    • DOI: 10.3390/agriculture10100476
    • Contributors: Vladimir Verzhuk, Alexander Pavlov, Liubov Novikova, Galina Filipenko

 

yun Shen | Agricultural Economics | Best Researcher Award

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Prof yun Shen | Agricultural Economics |  Best Researcher Award

Professor at  Sichuan Agricultural University, China

Yun Shen is a distinguished Professor at Sichuan Agricultural University, specializing in applied economics with a focus on rural financial development. With a prolific academic career spanning China and Australia, he has authored over 60 papers in esteemed journals such as “Journal of Rural Studies” and served as a reviewer for “Economic Review”. Yun has led more than 20 research projects, resulting in significant contributions to understanding economic dynamics in rural areas. He has published four books and holds editorial appointments in key journals. Yun’s work includes pioneering the Southwestern Rural Finance and Poverty Alleviation Database and advancing integration theories for urban-rural development. His research impact extends globally, influencing policy and practice.

Profile:

Academic Achievements:

With over 60 papers published in esteemed journals such as “Journal of Rural Studies,” Professor Shen is recognized for his scholarly contributions. He has led numerous national and provincial research projects, garnering over 3000 citations, including several highly cited papers. His work has earned accolades like the Sichuan Provincial Social Science Outstanding Achievement Awards.

Research Focus: Agricultural Economics

Professor Yun Shen, affiliated with Sichuan Agricultural University, specializes in Agricultural Economics. His research delves into the intricate dynamics of rural finance, agricultural development, and natural resource management. With a focus on elucidating the interplay between financial systems, natural resources, and economic growth in rural settings, Professor Shen’s work aims to advance sustainable practices and enhance economic outcomes in agricultural communities.

Citations:

  • Total Citations: 379
  • Citations since 2019: 296
  • h-index: 10
  • i10-index: 10

Publication Top Notes:

  • Index system of sustainable rural development based on the concept of ecological livability
    X Li, H Yang, J Jia, Y Shen, J Liu
    Environmental Impact Assessment Review 86, 106478 (2021)
  • Impacts of livelihood assets on adaptation strategies in response to climate change: Evidence from Pakistan
    GR Sargani, Y Jiang, AA Chandio, Y Shen, Z Ding, A Ali
    Environment, Development and Sustainability 25 (7), 6117-6140 (2023)
  • Construction and empirical analysis of index system for rural revitalization strategy
    J Jia, X Li, Y Shen
    Finance and Economics Science, 70-82 (2018)
  • Analysis of influencing factors of agricultural land use right transfer price – empirical evidence from household and regional levels
    Y Shen, S Zhu, Y Deng, L Teng, R Zhao
    China Rural Observation, 2-17 (2012)
  • Social capital, binary finance, and rural household lending behavior
    Y Shen
    Economic Review, 80-90 (2016)
  • Research on intermediary platform and pricing mechanism in agricultural land transfer market – based on the perspective of bilateral market theory
    S Zhu, Y Shen, CY Shi
    Agricultural Economics and Management, 39-46 (2011)
  • No farmer no food, assessing farmers’ climate change mitigation and adaptation behaviors in farm production
    GR Sargani, Y Jiang, MA Joyo, Y Liu, Y Shen, AA Chandio
    Journal of Rural Studies 100, 103035 (2023)
  • Construction and empirical analysis of evaluation index system for rural industrial revitalization
    Y Shen, H Chen, X Chen, TT Hu
    World Agriculture, 59-69 (2020)
  • Empirical analysis of forest farmers’ cognition of forest reform policy – based on survey of 400 sample households in 10 counties in Jiangxi
    XL Kang, Y Shen, S Zhu
    Journal of Jiangxi Agricultural University: Social Sciences Edition 11 (3), 18-22 (2012)
  • Research on evaluation index system of affluent life of rural residents in China – based on the perspective of building a moderately prosperous society in all respects
    Y Shen, JR Li
    Research World, 42-50 (2020)
  • Chain financing model and precise poverty alleviation effect
    Y Shen, XB Peng
    Economic Research 42, 9 (2016)
  • Analysis of influencing factors of migrant workers’ employment ability
    ZJ Chen, Y Deng, Y Shen
    Journal of Jiangxi Agricultural University: Social Sciences Edition 11 (2), 14-19 (2012)
  • Measurement and spatiotemporal evolution of quality of life of rural residents in China under the perspective of common prosperity
    Y Shen, YX Yin, X Zhong
    Journal of Southwest Minzu University (Humanities and Social Sciences Edition) 43 (2), 103-114 (2022)
  • How do cooperatives alleviate poverty of farmers? Evidence from Rural China
    Y Shen, J Wang, L Wang, B Wu, X Ye, Y Han, R Wang, AA Chandio
    Land 11 (10), 1836 (2022)
  • Urbanization regional spillover and regional economic growth convergence – based on empirical evidence from Chengdu-Chongqing Economic Zone
    Y Shen, YQ Cao, XB Peng
    Journal of Jiangxi University of Finance and Economics, 19-29 (2014)
  • Farm risks, livelihood asset allocation, and adaptation practices in response to climate change: A cross-country analysis
    GR Sargani, Y Shen, Y Liu, MA Joyo, J Liu, Y Jiang, H Zhang
    Frontiers in Environmental Science 10 (2023)
  • Agglomeration of agricultural industry and green development: Efficiency measurement and impact effects
    L Xue, Y Shen, CH Xu
    Economic Compass 37 (3), 45-53 (2020)
  • Agglomeration of agricultural industry and green development: Coupling degree and synergistic effect
    L Xue, CH Xu, Y Shen
    Statistics and Decision, 125-129 (2019)
  • The effects of ecological public welfare jobs on the usage of clean energy by farmers: Evidence from Tibet areas – China
    H Zhang, Y Tang, MA Ankrah Twumasi, AA Chandio, L Guo, R Wan, S Pan, …
    Agriculture 12 (7), 900 (2022)