Muhammad Zakaria Hossain | Agricultural Engineering | Best Researcher Award

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Dr Muhammad Zakaria Hossain | ย Agricultural Engineering | ย Best Researcher Award

Scientific Officer at ย Bangladesh Agricultural Research Institute, Gazipur, ย Bangladesh

Muhammad Zakaria Hossain has been serving as a Scientific Officer at BARI since 2012. His research focuses on precision agriculture, farm machinery, and renewable energy, with notable contributions to developing IoT-based agricultural systems and robotic mowers for orchard management. He has published 11 journal articles and a book chapter, earning recognition such as the Best Paper Award at the 63rd Annual Meeting of the Japanese Weed Society (2024). With over 12 years of experience, Zakaria has led multiple innovative projects, presented at international conferences, and completed advanced training programs, including a 7-month JICA training in Japan.

 

Publication Profile

๐Ÿ“š Academic and Professional Background:

Muhammad Zakaria Hossain has been a Scientific Officer at BARI since 2012, focusing on precision agricultural techniques for sustainable crop production. His PhD research explored robotic mowers for orchard floor management. With over 12 years of experience, he has published 11 journal articles and a book chapter in reputable platforms like Wiley and MDPI.

๐Ÿšœ Research and Innovations:

He has led and contributed to various projects, including developing IoT-based systems, solar-powered machinery, and automated agricultural tools. Notable projects include the Farm Machinery Technology Development Project (2020โ€“2025) and the Smallholder Agricultural Competitiveness Project (2024).

๐ŸŒŸ Achievements:

  • Best Paper Award at the 63rd Annual Meeting of the Japanese Weed Society (2024).
  • Presented research at 11 conferences, including ASABE AIM (2021).
  • Completed advanced training programs, including a 7-month JICA training in Japan.

๐Ÿ› ๏ธ Areas of Expertise:

Precision agriculture, farm machinery, renewable energy, UAV imagery, and sensor-embedded systems.

๐ŸŒ Professional Memberships:

Member of ASABE, Bangladesh Society of Agricultural Engineers, Japanese Society of Farm Work Research, and JICA Alumni Association Bangladesh.

Publication Top Note:

  • Hanging as a method of suicide: Retrospective analysis of postmortem cases
    M Ahmad, MZ Hossain
    Journal of Armed Forces Medical College, Bangladesh, 2010
  • Design and development of solar dryer for chilli drying
    MZ Hossain, MA Hossain, MA Awal, MM Alam, A Rabbani
    International Journal of Research, 2015
  • Weed management and economic analysis of a robotic lawnmower: A case study in a Japanese pear orchard
    MZ Hossain, M Komatsuzaki
    Agriculture, 2021
  • Performance evaluation of a cabinet solar dryer for drying red pepper in Bangladesh
    MZ Hossain, MM Alam, MFB Hossain, MSH Sarker, MA Awal, N Jahan
    Journal of Agricultural Engineering, 2018
  • Design of a new beneficial single-axis automatic controlled solar tracker
    MRI Sarker, RA Beg, MZ Hossain, MT Islam
    Proceedings of the 11th APM, 2006
  • Drying and dehydration kinetics of ginger
    MM Alam, MZ Hossain, M Aktar, MS Islam, Z Hasan
    International Journal of Innovation and Applied Studies, 2014
  • Robotic lawnmower saves labor and operation costs in a pear (Pyrus pyrifolia) orchard
    MZ Hossain, K Takahashi, M Komatsuzaki
    Japanese Journal of Farm Work Research, 2020
  • Rehydration characteristics of dried summer onion
    MM Alam, MZ Hossain, MN Islam
    International Journal of Research, 2014
  • Optimization of the yearโ€round mowing schedule of a robotic lawnmower in a Japanese pear orchard
    MZ Hossain, S Watanabe, T Okayama, M Komatsuzaki
    Weed Biology and Management, 2022
  • Risk of High Systolic Blood Pressure among the Air Crew in Bangladesh Air Force
    MM Rahman, MA Wahab, MZ Hossain, MM Yasin, NKBG Quddus
    Journal of Armed Forces Medical College, Bangladesh, 2021
  • Osmotic development of value-added garlic products through dehydration and mechanical drying
    M Alam, MZ Hossain, W Ahmed, S Nahar
    Scientia, 2017
  • Architecture program structure in Bangladesh: A critical study
    M Ahsan, SI Raj, M Hossain, A Kundu
    International Seminar on Architecture: Education, Practice and Research, 2012
  • The need to incorporate ergonomics in smart agriculture and organic farming in agricultural and biological engineering education
    M Komatsuzaki, MZ Hossain, NS Dewi
    Agricultural, Biosystems, and Biological Engineering Education, 2024
  • RTK-UAV monitoring of oat cover crop termination by a straight-bar roller-crimper amid weeds
    MZ Hossain, M Komatsuzaki
    2021 ASABE Annual International Virtual Meeting, 2021
  • Design and development of a low-cost power tiller operated potato harvester for small farmers, Bangladesh
    MZHKKS MI Hossain
    Bangladesh Journal of Agricultural Engineering, 2016
  • Computer vision technique for optimum nitrogen application in rice
    MZ Hossain, MM Alam, MA Haque, A Rahman, MA Awal
    International Journal of Research (IJR), 2014
  • Impact study of a generation-rich island and development of auto load shedding scheme to improve service reliability
    M Hossain, MS Alam, MI Hossain, MQ Ahsan
    1st International Conference on Electrical Engineering and Information, 2014
  • Study of impacts on operation of island and frequency-based auto load shedding to improve service reliability using CYME PSAF
    M Hossain, H Rahman, MQ Ahsan
    7th International Conference on Electrical and Computer Engineering, 2012
  • Effects of gibberellic acid and indole-3-acetic acid on growth, development, and yield of Arahar plants (Cajanus Cajan (L.) millsp. cultivar 76013)
    R Parveen, SN Hossin, F Hossain, M Hossain
    Bangladesh Journal of Life Sciences, 1994
  • ๆ—ฅๆœฌใฎใƒŠใ‚ทๆžœๆจนๅœ’ใซใŠใ‘ใ‚‹ใƒญใƒœใƒƒใƒˆ่Šๅˆˆใ‚ŠๆฉŸใฎ่ฉ•ไพกใจ่‰ๅˆˆใ‚Šใฎๆœ€้ฉๅŒ–
    MZ Hossain

 

Bashir Olaniyi Sadiq | Smart Agri Awards | Best Researcher Award

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Assoc Prof Dr. Bashir Olaniyi Sadiq | Smart Agri Awards | Best Researcher Award

Assoc Prof Dr. Bashir Olaniyi Sadiq, Kampala International University , Uganda

Assoc. Prof Dr. Bashir Olaniyi Sadiq currently serves as an Associate Professor and Director of ICT at Kampala International University, Uganda, starting in July 2024. He is also affiliated with the Department of Electrical, Telecommunication & Computer Engineering. His duties include conducting research using advanced equipment, curriculum review, and supervising students in fields like computer communications, IoT, image processing, and ad hoc networks. Additionally, he teaches both undergraduate and postgraduate students in various electrical and computer engineering courses.

Publication profile

Orcid

Academic Qualificationsย 

Dr. Bashir holds a PhD in Computer Engineering (2018) from Ahmadu Bello University Zaria, where he developed a routing protocol for light fidelity-based indoor flying ad hoc networks. He also holds a Master’s in Computer Engineering (2015) from the same university, where his thesis focused on improving edge detection algorithms using Particle Swarm Optimization. He earned his B. Eng in Electrical Engineering in 2011, with a project on TCP and UDP protocol service level analysis.

 

Professional Qualifications

Dr. Bashir has completed various certifications, including the ICT Application in Higher Education (2021) from the Ministry of Commerce, China, and the Huawei Certified Information Professional (HCIP) certification (2020) from Huawei Academy. Additionally, he has been recognized as a Huawei Certified Academy Instructor.

Awards

Dr. Bashirโ€™s research contributions have been recognized with several awards, including the TETFUND Institution-based Research Grant (2019), where he was the Principal Researcher. He also received the Excellent Instructor Award from the Huawei ICT Academy in 2018 and the Petroleum Development Trust Fund (PTDF) Local PhD Scholarship Scheme in 2017.

Research Interests

His research interests include Computer Communications & Networks, Image Processing, Ad hoc Networks, and Computer Engineering Applications. His work focuses on developing and improving network protocols, edge detection algorithms, and integrating new technologies such as IoT into these systems.

Teaching Experience

Dr. Bashir has an extensive teaching portfolio, which includes courses like Advanced Data Analysis, Biomedical Signal and Image Processing, and Computational Modeling and Artificial Intelligence at Kampala International University. At Ahmadu Bello University Zaria, he taught a wide array of subjects, including Network Technology, Digital Signal Processing, and Operating Systems.

Honor Societies

He is a registered member of various prestigious engineering societies, including the Council for the Regulation of Engineers (COREN), the Institute of Electrical and Electronics Engineers (IEEE), the International Association of Engineers (IAENG), and the Nigerian Society of Engineers.

Publication Top Notes

  • High-tech herding: Exploring the use of IoT and UAV networks for improved health surveillance in dairy farm systems (2024) ๐Ÿ„๐Ÿ“ก| DOI: 10.1016/j.sciaf.2024.e02266
  • Maximizing network capacity, control, and management in designing a telemedicine network: A review and recent challenges (2024) ๐Ÿฅ๐Ÿ’ป | DOI: 10.4314/njt.v43i1.11
  • Performance Analysis of Various Image Feature Extractor Filters for Pothole Anomaly Classification (2024) ๐Ÿš—๐Ÿ›ค | DOI: 10.5815/ijigsp.2024.01.03
  • Review of Error Correction in 2D Shingled Magnetic Detection (2023) ๐Ÿ“€๐Ÿ›  | DOI: 10.11113/elektrika.v22n3.265
  • A Comparative Analysis of Symmetric Cryptographic Algorithm as a Data Security Tool: A Survey (2023) ๐Ÿ”๐Ÿ–ฅ | | DOI: 10.5281/ZENODO.8313097
  • Energy-aware Message Distribution Algorithm for Enhanced FANET Pipeline Surveillance Reliability (2023) ๐Ÿ›ฐ๐Ÿ’กย  | DOI: 10.1016/j.sciaf.2023.e01660
  • FANET Experiment: Real-Time Surveillance Applications Connected to Image Processing System (2023) ๐Ÿ“ท๐Ÿ›ธ | | DOI: 10.59568/kjset-2023-2-1-02
  • Statistical LOS/NLOS Classification for UWB Channels (2023) ๐Ÿ“ก๐Ÿ”Ž | Cited by: – | DOI: 10.59568/kjset-2023-2-1-05
  • An adaptive ant colony optimisation for improved lane detection in intelligent automobile vehicles (2022) ๐Ÿš—๐Ÿœ | DOI: 10.1504/ijbic.2022.121225
  • SIFT-CNN Pipeline in Livestock Management: A Drone Image Stitching Algorithm (2022) ๐Ÿš๐Ÿ„ | DOI: 10.3390/drones7010017

Conclusion

Dr. Bashir Olaniyi Sadiqโ€™s extensive research experience, academic qualifications, professional certifications, and teaching expertise make him a strong candidate for the Research for Best Researcher Award. His contributions to computer engineering, particularly in network protocols and image processing, as well as his awards and leadership roles, highlight his excellence in research and academia.

 

 

Jianguo Wu | Agricultural Intelligent Equipment | Best Researcher Award

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Mrย Jianguoย Wu |ย ย Agricultural Intelligent Equipment |ย Best Researcher Award

Postgraduate atย ย Intelligent Equipment Research Center, Beijing Academy of Agriculture and Forestry Sciences,ย China

Jianguo Wu, a graduate student specializing in agricultural intelligent equipment, is currently affiliated with the Precision Pesticide Application Department at the Intelligent Equipment Research Center, Beijing Academy of Agriculture and Forestry Sciences. Born on March 16, 1995, Jianguo began his master’s degree in Mechanical Engineering at the College of Mechanical and Electrical Engineering, Xinjiang Agricultural University in September 2021. His academic journey led him to joint training at the Intelligent Equipment Research Center from June 2022 to June 2024, focusing on designing a spray boom height control system for sprayers.

 

Profile:

Educational Journey:

๐ŸŽ“ Master’s in Mechanical Engineering from the College of Mechanical and Electrical Engineering, Xinjiang Agricultural University (commenced in September 2021). ๐Ÿ“š Joint Training at the Intelligent Equipment Research Center from June 2022 to June 2024.

Professional Experience:

๐Ÿ“ Published two core papers in Chinese. ๐ŸŒ Published one JCR Q1 paper. ๐Ÿ† Holder of a Chinese invention patent and a computer software copyright.

Achievements:

  • ๐Ÿ“ˆ H-index and Cumulative Impact Factor: 6.342.
  • ๐Ÿ… Received 4 awards and recognitions.
  • ๐Ÿ‘ฅ Active member of 40 professional bodies.

Jianguo Wu’s research and innovations significantly contribute to advancing agricultural intelligent equipment technology, making strides toward the future of autonomous farming. ๐ŸŒพ๐Ÿ”ง

Research Focus in Agricultural Intelligent Equipment:

Jianguo Wu’s research focuses on advancing Agricultural Intelligent Equipment, particularly specializing in the precision and efficiency of pesticide application. His work, based at the Intelligent Equipment Research Center of the Beijing Academy of Agriculture and Forestry Sciences, centers on developing innovative systems for spray boom height control in agricultural sprayers. Through his expertise, Jianguo aims to enhance the automation and effectiveness of farming practices, contributing to sustainable agricultural solutions and improved crop yield management.

Publication:

Model for Detecting Boom Height Based on an Ultrasonic Sensor for the Whole Growth Cycle of Wheat Agriculture, 2023-12-22 | Journal Article DOI: 10.3390/agriculture14010021

Muhammad Faheem | Robotics in Agriculture | Best Researcher Award

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Dr Muhammad Faheem | ย Robotics in Agriculture |ย Best Researcher Award

Assistant Executive Engineer atย ย University of Agriculture, Faisalabad, Pakistan

Dr. Muhammad Faheem is a distinguished academic and professional in the field of Agricultural Engineering. Born on June 10, 1987, in Pakistan, he holds a PhD in Agricultural Engineering from Jiangsu University, China, completed in 2022. Dr. Faheem earned his M.Sc. (Hons.) and B.Sc. (Hons.) degrees from the University of Agriculture, Faisalabad, in 2013 and 2010 respectively.

 

Profile:

Academic Qualifications:

PhD in Agricultural Engineering (2022): Jiangsu University, China ๐Ÿ‡จ๐Ÿ‡ณ. M.Sc. (Hons.) in Agricultural Engineering (2013): University of Agriculture, Faisalabad, Pakistan. B.Sc. (Hons.) in Agricultural Engineering (2010): University of Agriculture, Faisalabad, Pakistan. F.Sc. (Pre-Engineering) (2005): B.I.S.E. Bahawalpur, Pakistan. Matriculation (2003): B.I.S.E. Bahawalpur, Pakistan

Professional Experience:

Assistant Executive Engineer/Lecturer (2013-present): Department of Farm Machinery & Power, University of Agriculture, Faisalabad ๐ŸŒพ๐Ÿซ Construction Supervisor (2010): SAREMCO International (Private Limited), Lahore

Awards & Honors:

National Idea Bank (NIB) Pakistan City and Provincial winner ๐Ÿ† First Prize in Robotic Agriculture and Second Prize in Solar Thermal Concentrators at Jiangsu University, China ๐Ÿฅ‡๐Ÿฅˆ Best Oral Presentation at the 5th International Conference on Renewable Energy, Bangkok, Thailand ๐ŸŽค

Research Focus: Robotics in Agriculture

Dr. Muhammad Faheem’s research in Robotics in Agriculture centers on leveraging automation and robotics technologies to enhance agricultural productivity and efficiency. Key aspects of his research include:

1. Vibration Feature Analysis for Robotic Harvesting:

  • PhD Thesis: “Vibration Feature Analysis of Grape Cluster in Different Stages for Robotic Harvesting” explores the use of robotic systems to identify optimal harvesting times by analyzing the vibration features of grape clusters at various growth stages. This research aims to improve the precision and efficiency of robotic harvesting systems.

2. Development of Robotic Harvesting Systems:

  • Dr. Faheem is involved in the design and development of robotic systems capable of performing tasks such as fruit picking and crop monitoring. His work aims to reduce labor costs and increase the speed and accuracy of harvesting processes.

3. Automation and Control Engineering:

  • His expertise extends to automation and control engineering, where he develops and implements control systems for agricultural robots. These systems enhance the ability of robots to perform complex tasks in dynamic farm environments.

4. Integration of Sensor Technologies:

  • Dr. Faheem integrates advanced sensor technologies into agricultural robots to improve their environmental perception and decision-making capabilities. This includes the use of cameras, LIDAR, and other sensors to enable precise navigation and task execution.

5. Publications and Contributions:

  • Dr. Faheem has published nearly 40 peer-reviewed research articles with a significant focus on robotics in agriculture. His research contributions are well-cited, reflecting the impact of his work in this field.

6. Awards and Recognition:

  • He has won several awards for his research in robotics in agriculture, including First Prize in the field of Robotic Agriculture at the 19th Simulated International Conference Communication Contest held at Jiangsu University, China.

Citations:

  • Total Citations: 608
  • Citations Since 2019: 595
  • h-index: 12
  • i10-index: 13
Publication:
  • CNN based automatic detection of photovoltaic cell defects in electroluminescence images
    • Published in Energy, 2019
    • Citations: 211
  • Different sensor based intelligent spraying systems in Agriculture
    • Published in Sensors and Actuators A: Physical, 2020
    • Citations: 69
  • Ultra-high temperature aerobic fermentation pretreatment composting: Parameters optimization, mechanisms and compost quality assessment
    • Published in Journal of Environmental Chemical Engineering, 2021
    • Citations: 56
  • Experimental and theoretical analysis of fruit plucking patterns for robotic tomato harvesting
    • Published in Computers and Electronics in Agriculture, 2020
    • Citations: 37
  • Seed coating technology: An innovative and sustainable approach for improving seed quality and crop performance
    • Published in Journal of the Saudi Society of Agricultural Sciences, 2022
    • Citations: 30
  • A review on mathematical modeling of in-vessel composting process and energy balance
    • Published in Biomass Conversion and Biorefinery, 2020
    • Citations: 26
  • Different real-time sensor technologies for the application of variable-rate spraying in agriculture
    • Published in Sensors and Actuators A: Physical, 2020
    • Citations: 25