Jianguo Wu | Agricultural Intelligent Equipment | Best Researcher Award Posted on 15/06/202415/06/2024 by sciencefather Mr Jianguo Wu | Agricultural Intelligent Equipment | Best Researcher Award Postgraduate at Intelligent Equipment Research Center, Beijing Academy of Agriculture and Forestry Sciences, 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: orcid Educational Journey: 🎓 Master’s in Mechanical Engineering from the College of Mechanical and Electrical Engineering, Xinjiang Agricultural University (commenced in September 2021). 📚 Joint Training at the Intelligent Equipment Research Center from June 2022 to June 2024. Professional Experience: 📝 Published two core papers in Chinese. 🌐 Published one JCR Q1 paper. 🏆 Holder of a Chinese invention patent and a computer software copyright. Achievements: 📈 H-index and Cumulative Impact Factor: 6.342. 🏅 Received 4 awards and recognitions. 👥 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. 🌾🔧 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 Posted on 14/06/202414/06/2024 by sciencefather 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: Google Scholar 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