Muhammad Faheem | Robotics in Agriculture | Best Researcher Award

Dr Muhammad Faheem |  Robotics in Agriculture | Best Researcher Award

Assistant Executive Engineer at  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 🇨🇳. 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 🌾🏫 Construction Supervisor (2010): SAREMCO International (Private Limited), Lahore

Awards & Honors:

National Idea Bank (NIB) Pakistan City and Provincial winner 🏆 First Prize in Robotic Agriculture and Second Prize in Solar Thermal Concentrators at Jiangsu University, China 🥇🥈 Best Oral Presentation at the 5th International Conference on Renewable Energy, Bangkok, Thailand 🎤

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