Xue Qu | Agricultural Resources | Best Researcher Award

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Dr Xue Qu |  Agricultural Resources |  Best Researcher Award

Lecturer at  School of Management/Chengdu University of Information Technology, China

Dr. Xue Qu is a distinguished researcher at the School of Management, Chengdu University of Information Technology. She holds a bachelor’s and master’s degree from China Agricultural University and a doctoral degree from the University of Tokyo, funded by the China Scholarship Council. Her research focuses on agricultural resources, the environment, and food security, with specific interest in food loss and waste, agriculture outsourcing services, and resource and environmental footprints. Dr. Qu has published 12 papers in reputed journals such as Applied Economics and the Journal of Integrative Agriculture. She has participated in several significant projects funded by the Ministry of Agriculture and Rural Affairs and the State Administration of Grain. Dr. Qu’s work offers valuable insights into agricultural outsourcing’s impact on harvest losses, contributing empirical evidence for regulating moral hazards in these services as agricultural marketization expands in the future.

Profile:

🎓 Academic and Professional Background:

Dr. Xue Qu is currently affiliated with the School of Management at Chengdu University of Information Technology. She earned her bachelor’s and master’s degrees from China Agricultural University and her doctoral degree from the University of Tokyo under the China Scholarship Council’s funding. Her research interests span agricultural resources and environment, food security, food loss and waste, agriculture outsourcing service, and resource and environmental footprint. She has published 12 papers in esteemed journals such as Applied Economics, Journal of Integrative Agriculture, and Agriculture.

🔬 Research and Innovations:

Dr. Qu has been involved in several significant research projects, including the “Technology System for Modern Agricultural Industry—Rabbit Industry” funded by the Ministry of Agriculture and Rural Affairs, and “Research on the Investigation and Evaluation Technology of Post-harvest Loss and Waste of Grain” funded by the State Administration of Grain.

📚 Publications and Contributions:

Dr. Qu has contributed significantly to the academic community with her research on rice harvest losses, food security, and agricultural sustainability. Her notable works include articles published in high-impact journals like Applied Economics and Agriculture, where she explores the effects of farming scale, mechanization, and outsourcing services on harvest losses in China. Additionally, she has authored a book chapter on field harvest losses in China.

🏆 Achievements and Recognitions:

With 94 citations on Google Scholar, Dr. Qu’s research has garnered attention and impact in her field. Her work provides empirical evidence on the moral hazards associated with agricultural outsourcing services, a crucial insight as the marketization of agricultural production continues to expand.

🌱 Areas of Research:

  • Food Security
  • Food Economy
  • Agricultural Sustainability

🤝 Collaborations and Memberships:

Dr. Qu collaborates with notable researchers such as Laping Wu, Daizo Kojima, Mitsuyoshi Ando, Yi Luo, Dong Huang, and Fangfang Cao, contributing to advancements in agricultural research.

Publication Top Notes:

  • Can Harvest Outsourcing Services Reduce Field Harvest Losses of Rice in China?
    QU Xue, D Kojima, Y Nishihara, L Wu, A Mitsuyoshi
    Journal of Integrative Agriculture, 20(5), 1396-1406, 2021 (Citations: 39)
  • The Losses in the Rice Harvest Process: A Review
    X Qu, D Kojima, L Wu, M Ando
    Sustainability, 13(17), 9627, 2021 (Citations: 16)
  • Impact of Rice Harvest Loss by Mechanization or Outsourcing: Comparison of Specialized and Part-Time Farmers
    X Qu, D Kojima, Y Nishihara, L Wu, M Ando
    Agricultural Economics/Zemědělská Ekonomika, 66(12), 2020 (Citations: 12)
  • Effects of Different Harvesting Ways on Grain Loss: Based on the Field Survey of 3251 Rural Households in China
    X LI, D HUANG, X QU, J ZHU
    Journal of Natural Resources, 35(5), 1043-1054, 2020 (Citations: 6)
  • Do Farming Scale and Mechanization Affect Moral Hazard in Rice Harvest Outsourcing Service in China?
    X Qu, D Kojima, L Wu, M Ando
    Agriculture, 12(8), 1205, 2022 (Citations: 5)
  • A Study of Rice Harvest Losses in China: Do Mechanization and Farming Scale Matter?
    X Qu, D Kojima, Y Nishihara, L Wu, M Ando
    Japanese Journal of Agricultural Economics, 23, 83-88, 2021 (Citations: 5)
  • Rice Harvest Losses Caused by Agency Slack in China: A Mediation Analysis
    X Qu, D Kojima, L Wu, M Ando
    Applied Economics, 55(10), 1129-1141, 2023 (Citations: 2)
  • An Inverse Relationship between Farm Size and Rice Harvest Loss: Evidence from China
    Y Luo, D Huang, X Qu, L Wu
    Land, 11(10), 1760, 2022 (Citations: 2)
  • Impacts of Work Attitude of Outsourcing Services on Food Losses: Evidence from Rice Harvest in China
    X Qu, D Kojima, L Wu, M Ando
    International Food and Agribusiness Management Review, 25(4), 587-599, 2022 (Citations: 1)
  • Does Outsourcing Skimp Work Attitude? Comparative Analysis between Business and Part-Time Farmers in China
    X Qu, D Kojima, L Wu, M Ando
    Japanese Journal of Farm Management, 60(2), 41-46, 2022 (Citations: 1)
  • Does Outsourcing Skimp Work Attitude?
    Q Xue, K Daizo, W Laping, A Mitsuyoshi
    Agricultural Economics Research, 60(2), 41-46, 2022
  • Harvest Loss Rate of Sweet Potato and Its Influencing Factors
    HY Han Yan, QX Qu Xue, HD Huang Dong, WLP Wu LaPing
    Southwest China Journal of Agricultural Sciences, 2019

 

Radwa El-Behairy | Agricultural Sustainability | Best Researcher Award

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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

 

 

 

 

 

 

 

 

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

 

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