Samuel Agele | Agriculture | Best Researcher Award

Published on by Agri Scientist

Prof. Dr. Samuel Agele | Agriculture | Best Researcher Award

Professor at  Federal University of Technology Akure,  Nigeria

Prof. Agele Samuel Ohikhena is a distinguished Plant Physiologist and Ecologist with expertise in crop physiology, irrigation management, and climate adaptation strategies for sustainable agriculture. He holds a B.Agric. degree, an M.Sc. in Desert Science, a Ph.D. in Crop Physiology, and a Postgraduate Certificate in Protected Crops & Irrigation (Israel).

Profile:

🎓 Academic Background:

He holds a B.Agric., an M.Sc. in Desert Science, and a Ph.D. in Crop Physiology. Additionally, he obtained a Postgraduate Certificate in Protected Crops & Irrigation from Israel.

🎓 Supervision & Academic Contributions:

Prof. Agele has supervised numerous undergraduate projects, over 25 master’s theses, and about 15 Ph.D. dissertations.

🏛️ Administrative & Research Leadership:

He has actively contributed to FUTA’s academic administration and served in leadership roles, including:
🔹 Head of Department (Crop, Soil & Pest Management, FUTA) (2013-2016)
🔹 Dean (Faculty of Agriculture, University of Africa, Toru Orua, Bayelsa State) (2017-2019)
🔹 Scholar (World Bank Step B Centre of Excellence in Food Security)
🔹 Coordinator (West African Agriculture Productivity Programme – WAAPP, FUTA)
🔹 Researcher (EU-AU Capacity4Food Project & Integrated Soil Fertility Management, FUTA)

🌍 International Training & Collaborations:

Prof. Agele has undergone training in Nigeria, Belgium, Israel, and Germany, contributing to international agricultural research efforts.

🏅 Professional Memberships:

He is a member of various prestigious scientific organizations, including:
🔸 International Horticultural Science Society (HIS)
🔸 International Soil Conservation Organization
🔸 International & African Crop Science Society
🔸 Soil Science Society of Nigeria
🔸 Agricultural Society of Nigeria
🔸 International Society for Irrigation and Drainage
🔸 Urban Climate Research Group

📖 Publications & Research Impact:

Prof. Agele has authored several book chapters and journal articles, with notable contributions to:
✅ Cacao agronomy & microclimate adaptation 🌱🍫
✅ Smallholder irrigation & climate resilience 🚰🌾
✅ Urban forestry & biochar applications 🌳🌍
✅ Water management & drought stress mitigation 💧🌾
✅ Climate change, food security & soil fertility management 🌎🌱

Citation Metrics:

  • Total Citations: 1,510

  • Citations Since 2020: 670

  • h-index: 22

  • h-index Since 2020: 13

  • i10-index: 38

  • i10-index Since 2020: 19

Publication Top Notes:

  • Assessing Crop Model Improvements Through Comparison of Sorghum (Sorghum bicolor L. Moench) Simulation Models: A Case Study of West African Varieties
    FM Akinseye, M Adam, SO Agele, MP Hoffmann, PCS Traore, …
    Field Crops Research 201, 19-31 (2017)

  • Effects of Tillage and Mulching on the Growth, Development, and Yield of Late-Season Tomato (Lycopersicon esculentum L.) in the Humid South of Nigeria
    SO Agele, GO Iremiren, SO Ojeniyi
    The Journal of Agricultural Science 134 (1), 55-59 (2000)

  • Effects of Plant Density and Mulching on the Performance of Late-Season Tomato (Lycopersicon esculentum) in Southern Nigeria
    SO Agele, GO Iremiren, SO Ojeniyi
    The Journal of Agricultural Science 133 (4), 397-402 (1999)

  • Insecticidal Activity of Powders of Some Nigerian Plants Against the Maize Weevil (Sitophilus zeamais Motsch)
    L Lajide, CO Adedire, WA Muse, SO Agele
    (1998)

  • Improving Sorghum Productivity Under Changing Climatic Conditions: A Modelling Approach
    FM Akinseye, HA Ajeigbe, PCS Traore, SO Agele, B Zemadim, …
    Field Crops Research 246, 107685 (2020)

  • Effects of Tillage and Manure Application on Soil Physicochemical Properties and Yield of Maize Grown on a Degraded Intensively Tilled Alfisol in Southwestern Nigeria
    AJ Adeyemo, SO Agele
    Journal of Soil Science and Environmental Management 1 (8), 205-216 (2010)

  • Evaluation of the Onset and Length of Growing Season to Define Planting Date: A Case Study for Mali (West Africa)
    FM Akinseye, SO Agele, PCS Traore, M Adam, AM Whitbread
    Theoretical and Applied Climatology 124, 973-983 (2016)

  • Effects of Some Soil Management Systems on Soil Physical Properties, Microbial Biomass, and Nutrient Distribution Under Rainfed Maize Production in a Humid Rainforest Alfisol
    SO Agele, BS Ewulo, IK Oyewusi
    Nutrient Cycling in Agroecosystems 72, 121-134 (2005)

  • Effects of Synthetic Hormone Substitutes and Genotypes on Rooting and Mini Tuber Production of Vine Cuttings Obtained From White Yam (Dioscorea rotundata, Poir)
    SO Agele, TG Ayankanmi, H Kikuno
    African Journal of Biotechnology 9 (30), 4714-4724 (2010)

  • Effects of Watering Regimes on Aphid Infestation and Performance of Selected Varieties of Cowpea (Vigna unguiculata L. Walp) in a Humid Rainforest Zone of Nigeria
    SO Agele, TI Ofuya, PO James
    Crop Protection 25 (1), 73-78 (2006)

  • Sunflower Responses to Weather Variations in Rainy and Dry Cropping Seasons in a Tropical Rainforest Zone
    SO Agele
    International Journal of Biotronics 32, 17-33 (2003)

  • Evapotranspiration, Water Use Efficiency, and Yield of Rainfed and Irrigated Tomato
    SO Agele, GO Iremiren, SO Ojeniyi
    International Journal of Agriculture & Biology 13 (4) (2011)

  • Organic Amendment of an Ultisol: Effects on Soil Properties, Growth, and Yield of Maize in Southern Guinea Savanna Zone of Nigeria
    K Ogundare, S Agele, P Aiyelari
    International Journal of Recycling of Organic Waste in Agriculture 1, 1-7 (2012)

  • Effects of Season of Sowing on Water Use and Yield of Tomato in the Humid South of Nigeria
    SO Agele, A Olufayo, GO Iremiren
    African Crop Science Society (2002)

  • Effect of Some Mulch Materials on Soil Physical Properties, Growth, and Yield of Sunflower (Helianthus annuus L.)
    SO Agele, JB Olaore, FA Akinbode
    Advances in Environmental Biology, 368-376 (2010)

  • Effects of Variety and Row Spacing on Radiation Interception, Partitioning of Dry Matter, and Seed Set Efficiency in Late-Season Sunflower (Helianthus annuus L.)
    SO Agele, IO Maraiyesa, IA Adeniji (2007)

  • Agricultural Wastes and Mineral Fertilizer on Soil and Plant Nutrient Status, Growth, and Yield of Tomato
    SO Agele, AJ Adeyemo, IB Famuwagun
    Archives of Agronomy and Soil Science 57 (1), 91-104 (2011)

  • Ability of Ovipositing Callosobruchus maculatus Females to Discriminate Between Seeds Bearing Their Own Eggs and Those Bearing Eggs of Other Females
    T Ofuya, S Agele (1989)

  • Effects of Spent Engine Oil Polluted Soil and Organic Amendment on Soil Chemical Properties, Microflora, and Growth of Telfairia occidentalis (Hook f.)
    AU Osaigbovo, KE Law-Ogbomo, SO Agele
    Bayero Journal of Pure and Applied Sciences 6 (1), 72-78 (2013)

  • Effects of Shade on Microclimate, Canopy Characteristics, and Light Integrals in Dry Season Field-Grown Cocoa (Theobroma cacao L.) Seedlings
    S Agele, B Famuwagun, A Ogunleye
    Journal of Horticultural Sciences 11 (1), 47-56 (2016)

 

 

Xincheng Li | Agricultural Engineering | Best Researcher Award

Published on by Agri Scientist

Prof Xincheng Li |  Agricultural Engineering |  Best Researcher Award

Associate Professor at  College of Electrical and Mechanical Engineering，Qingdao Agricultural University, China

Xingcheng Li is a Research Assistant at the College of Electrical and Mechanical Engineering, Qingdao Agricultural University. His research focuses on agricultural information technology, sensor development, intelligent agricultural machinery control, and automation technology in livestock and poultry farming. He has published over 10 academic papers, secured 5 national invention patents, and led key research projects at both provincial and national levels. With experience in teaching and developing innovative solutions in agricultural engineering, Li contributes to advancing technological applications in agriculture.

 

Publication Profile

Academic and Professional Background:

Xingcheng Li is a Research Assistant at Qingdao Agricultural University, specializing in agricultural engineering and information technology. He has taught various courses at both undergraduate and graduate levels, including Principles and Applications of Sensors, Agricultural Sensing, and Operations Research. His primary research interests include agricultural information technology, sensor development, intelligent agricultural machinery control, and automation in livestock and poultry farming.

Research and Innovations:

Prof. Li has contributed significantly to the development of agricultural technologies. He has published over 10 research papers and secured 5 national invention patents. His ongoing research includes projects on livestock and poultry disease prevention, as well as participation in key national and provincial R&D programs. Notably, he has led the Shandong Province Agricultural Major Application Technology Innovation Project and the Natural Science Foundation of Shandong Province.

Research Areas:

  • Agricultural Engineering
  • Mechanical Engineering
  • Agricultural Machinery and Equipment Engineering
  • Agricultural Engineering and Information Technology

Publication Top Notes

  1. A seed-epidermis-feature-recognition-based lightweight peanut seed selection method for embedded systems
    Li, D., Huang, J., Li, X., Xu, P., Yun, Y.
    Measurement and Control (United Kingdom), 2024.
    This paper introduces a lightweight peanut seed selection method based on seed-epidermis feature recognition, suitable for embedded systems in agricultural automation.
  2. Optimization Design and Experiment of Automatic Leveling System for Orchard Operating Platform in Hilly and Mountainous Areas
    Shang, H., Li, X., Zhang, C., Hou, Y., Jia, M.
    INMATEH – Agricultural Engineering, 2024, 73(2), pp. 364–374.
    Focuses on optimizing the design and conducting experiments on an automatic leveling system for orchard platforms in challenging terrains.
  3. Domestic Conflicts and Trade Protectionism: Evidence from Tweets
    Kun, L., Xincheng, L., Ming, F.
    China Journal of Economics, 2022, 9(1), pp. 56–84.
    Analyzes the relationship between domestic conflicts and trade protectionism, based on Twitter data analysis.
  4. Grain Yield Data Collection and Service for Heterogeneous Platforms
    Zheng, L., Guo, X., Li, M., Chen, Y., Xiao, C.
    Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering, 2016, 32(9), pp. 142–149.
    This work discusses systems for collecting and providing grain yield data across different agricultural platforms.
  5. Test and Optimization of Sampling Frequency for Yield Monitor System of Grain Combine Harvester
    Li, X., Li, M., Zheng, L., Wang, X., Sun, M.
    Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery, 2015, 46, pp. 74–78.
    Examines the optimization of sampling frequency for a grain yield monitor in combine harvesters.
  6. Modeling Algorithm for Yield Monitor System of Grain Combine Harvester
    Li, X., Sun, M., Li, M., Zhang, M., Wang, X.
    Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery, 2015, 46(7), pp. 91–96.
    Proposes a modeling algorithm for improving the yield monitor system of grain combine harvesters.
  7. Development and Denoising Test of Grain Combine with Remote Yield Monitoring System
    Li, X., Li, M., Wang, X., Sun, M., Sun, H.
    Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering, 2014, 30(2), pp. 1–8.
    This paper focuses on the development and testing of a grain combine equipped with a remote yield monitoring system.
  8. Structure Design and Signal Processing of a New Grain Flow Sensor
    Li, X., Li, M., Zheng, L., Yang, W., Sun, H.
    American Society of Agricultural and Biological Engineers Annual International Meeting, ASABE 2014, pp. 4330–4336.
    Presents the design and signal processing methods for a new grain flow sensor.
  9. A Remote Monitoring System of Automatic Soil Sampler Based on ZigBee WSN
    Yang, W., Li, M., Zheng, L., Li, X., Zhang, M.
    American Society of Agricultural and Biological Engineers Annual International Meeting, ASABE 2013, pp. 4023–4028.
    Describes a remote monitoring system for an automatic soil sampler based on ZigBee wireless sensor networks (WSN).
  10. A Remote Operating System of Grain Yield Monitor
    Li, X., Li, M., Zheng, L., Yang, W., Zhang, M.
    American Society of Agricultural and Biological Engineers Annual International Meeting, ASABE 2013, pp. 4091–4096.
    Introduces a remote operating system for monitoring grain yield during harvesting.

 

Guoqiang Dun | Agricultural Machinery | Best Researcher Award

Published on by Agri Scientist

Dr Guoqiang Dun | Agricultural Machinery | Best Researcher Award

Associate professor at  Intelligent Agricultural Machinery Equipment Engineering Laboratory, Harbin Cambridge College, China

Dr. Guoqiang Dun is a distinguished researcher in the field of intelligent agricultural machinery and equipment, with a focus on intelligent precision control sowing and fertilizing equipment, plot breeding machinery, special vegetable and herb sowing machinery, and computer simulation technology. He has authored over 40 papers in academic journals and holds more than 140 patents. In 2022, he was recognized as the first author in the “Leader 5000 – China’s Top Academic Papers in Excellence Journals (F5000)” and received the first prize in the National Agriculture, Animal Husbandry and Fisheries Harvest Award for Agricultural Technology Promotion Achievement. Dr. Dun has successfully led projects totaling nearly 600,000 RMB.

Profile:

📚 Academic and Professional Background:

Dr. Guoqiang Dun is an expert in intelligent agricultural machinery and equipment, specializing in intelligent precision control sowing and fertilizing equipment, plot breeding machinery, special vegetable and herb sowing machinery, and computer simulation technology. He has published over 40 papers and holds more than 140 patents. In 2022, he was recognized as a leading author in “Leader 5000 – China’s Top Academic Papers in Excellence Journals (F5000)” and received the first prize in the National Agriculture, Animal Husbandry and Fisheries Harvest Award. He has led projects worth nearly 600,000 RMB.

🛠️ Areas of Research:

  • Intelligent agricultural machinery and equipment
  • Intelligent precision control sowing and fertilizing equipment
  • Plot breeding machinery and equipment
  • Special vegetable and herb sowing machinery
  • Computer simulation technology

🚜 Research Focus in Agricultural Machinery:

Guoqiang Dun’s research in agricultural machinery encompasses several key areas: Intelligent Precision Control Sowing and Fertilizing Equipment: Development of advanced sowing and fertilizing machinery with precision control mechanisms. Optimization of fertilizer apparatus using discrete element methods. Plot Breeding Machinery and Equipment: Design and improvement of machinery tailored for plot breeding to enhance efficiency and precision. Innovations in seed-metering wheels and specialized seed discharge devices. Special Vegetable and Herb Sowing Machinery: Creation of specialized machinery for sowing vegetables and herbs with specific requirements. Implementation of unique mechanisms to ensure precise sowing and uniform growth. Computer Simulation Technology: Utilization of computer simulations to optimize machinery design and functionality. Application of software like EDEM and SolidWorks for dynamic simulation and analysis of agricultural processes. Guoqiang Dun’s contributions have significantly advanced the field of agricultural machinery, leading to more efficient, precise, and innovative farming practices.

Citations:

  • Citations: 203
  • Documents Cited: 176
  • Total Documents: 20
  • h-index: 8 (View h-index graph)

Publication Top Notes:

  • Design and Experiment of Side-hung Seed-rowing Spoon Type Precision Seed Metering Device for Radish | 红萝卜侧面悬置排种勺式精量排种器设计与试验
  • Design and Experiment of an Electric Control Spiral-Pushing Feed Mechanism for Field Fertilizer Applicator
  • Optimization and Experiment of the Fertilizer Apparatus with Staggered Gears | 错排齿轮式排肥器优化与试验
  • Simulation Optimization and Experiment of Screw Extrusion Precision Fertilizer Ejector | 螺旋挤压式精量排肥器的仿真优化及试验
  • Optimization Design and Experiment for Precise Control Double Arc Groove Screw Fertilizer Discharger
  • Design and Trajectory Simulation Reliability Analysis of a Self-propelled Strawberry Applicator | 自走式草莓施药机设计与轨迹仿真可靠性分析
  • Optimal Design and Experiment of Corn-Overlapped Strip Fertilizer Spreader
  • Optimization Design and Experiment of Oblique Opening Spiral Precision Control Fertilizer Apparatus | 斜口螺旋精控排肥器优化设计与试验
  • Optimization Design and Experiment of Alternate Post Changing Seed Metering Device for Soybean Plot Breeding | 交替换岗式大豆小区育种排种器优化设计与试验
  • Optimal Design and Experiment of Arc-groove Double-spiral Fertilizer Discharge Device | 弧槽双螺旋式排肥器优化设计与试验

 

 

Di Wang | Agricultural Machinery | Best Researcher Award

Published on by Agri Scientist

Assist Prof Dr  Di  Wang |  Agricultural Machinery  | Best Researcher Award

Associate Professor at  School of Mechanical Engineering, Xinjiang University, China

Dr. Di Wang is an Associate Professor at Xinjiang University’s School of Mechanical Engineering, specializing in Agricultural Engineering and Computational Mechanics. He holds a Doctor of Engineering degree and has a rich educational background, including a Ph.D. from South China University of Technology.

 

Profile:

📚 Education:

Ph.D., School of Mechanical and Vehicle Engineering, South China University of Technology, 2014-2020 Master’s Degree, Henan University of Science and Technology, 2011-2014 Bachelor’s Degree, Henan University of Science and Technology, 2007-2011

📅 Experience:

Associate Professor: Xinjiang University (2022-Present) Lecturer: Xinjiang University (2020-2021)

🏆 Academic Achievements:

Published 10 SCI papers, authorized 14 invention patents. Presided over 3 projects, participated in 4 research projects

Research Focus: Agricultural Machinery

Dr. Di Wang specializes in advancing agricultural machinery through computational mechanics. His work is dedicated to enhancing the efficiency, performance, and sustainability of agricultural equipment. Specifically, his research focuses on:

  1. Design Optimization: Developing innovative designs for agricultural machinery to improve functionality and productivity.
  2. Material Science: Utilizing computational solid mechanics to enhance the durability and performance of agricultural equipment components.
  3. Field Performance Analysis: Using computational models to evaluate the performance of agricultural machinery under various soil and crop conditions.
  4. Precision Agriculture: Exploring how computational techniques can optimize precision agriculture practices, increasing yields while minimizing resource usage.

Dr. Wang’s contributions in this field aim to revolutionize modern farming practices, making them more efficient, sustainable, and technologically advanced.

Publication Top Notes:

[1] Di Wang, Wei Xu, Shunhua Chen, Mengyan Zang. An extrinsic cohesive shell model for dynamic fracture analyses. Theoretical and Applied Fracture Mechanics 97(2018) 165–176. (SCI, JCR:Q1, IF：4.017)

[2] Di Wang, Shunhua Chen, Wei Xu, Mengyan Zang. Impact failure analysis of laminated glass: An extrinsic cohesive shell approach. Computers & Structures 233(2020). (SCI, JCR:Q1, IF：4.578)

[3] Di Wang, Wei Xu, Mengyan Zang. Numerical modelling of impact failure of an automotive windshield glazing subjected to a dummy pedestrian headform. International Journal of Impact Engineering 141(2020). (SCI, JCR:Q1, IF：4.208)

[4] Di Wang , Ma F, Chen H. Numerical Simulation for Hydrogen-Assisted Cracking: An Explicit Phase-Field Formulation[J]. Materials, 2023, 16(4): 1708. (SCI, JCR:Q1, IF：3.748)

[5] Di Wang, Houcheng Fang, Ruilei Xue, and Shen Li. Numerical study on the axial collapse of thin-walled columns. Scientific Reports 14.1 (2024): 6018.

[6] Di Wang, Hui Wang, Yan Xu, Jianpin Zhou, and Xinyu Sui. “Numerical Simulations of the Driving Process of a Wheeled Machine Tire on a Snow-Covered Road.” Machines 11, no. 6 (2023): 657.

[7] Xinming Jin, Fangping Ma, Di Wang. 2023. Simulation of Mouldboard Plough Soil Cutting Based on Smooth Particle Hydrodynamics Method and FEM–SPH Coupling Method. Agriculture, 13(9), p.1847.

[8] Fang H，Di Wang . Simulation Analysis of Delamination Damage for the Thick-Walled Composite-Overwrapped Pressure Vessels[J]. Materials, 2022, 15(19): 6880. (SCI, JCR:Q1, IF：3.748)

[9] Dejia Lin, Di Wang, Shunhua Chen, Mengyan Zang. Numerical simulations of impact fracture behavior of an automotive windshield glazing: An intrinsic cohesive approach, Composite Structures 186. (2018) 79–93 (SCI, JCR:Q1, IF：5.407)

[10] Shunhua Chen, Mengyan Zang, Di Wang. Finite element modelling of impact damage in polyvinyl butyral laminated glass, Composite Structures 138 (2016) 1–11. (SCI,JCR:Q1, IF：5.407)

[11] Shunhua Chen, Mengyan Zang, Di Wang. Numerical analysis of impact failure of automotive laminated glass: A review, Composites Part B: Engineering 122 (2017) 47–60. (SCI, JCR:Q1, IF：9.078)

[12] Xiao Xu, Shunhua Chen, Di Wang, Mengyan Zang. An efficient solid-shell cohesive zone model for impact fracture analysis of laminated glass. Theoretical and Applied Fracture Mechanics 108 (2020). (SCI, JCR: Q1, IF 4.017)

[13] Xu Xiao, Di Wang, et al. Development of an intrinsic solid-shell cohesive zone model for impact fracture of windshield laminated glass. International Journal of Impact Engineering, 2022, 163: (SCI, JCR:Q1, IF：4.208).

[14] Zou, C., Yang, H., Chen, Di Wang, D., Zang, M., & Chen, S. (2024). Internal-interfacial cracking interaction: Combined phase-field and discontinuous Galerkin/cohesive zone modeling. International Journal of Mechanical Sciences, 273, 109211.