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Dr. Muhammad Zain | Drone Sensors Awards | Best Researcher Award

Dr. Muhammad Zain, Yangzhou University, China

Dr. Muhammad Zain, a dedicated agricultural scientist, focuses on sustainable crop productivity by optimizing resource use and leveraging advanced agricultural technologies. , Dr. Zain completed his Ph.D. in Agricultural Water Soil Engineering at the Chinese Academy of Agricultural Sciences, where he explored the impacts of lateral spacing, irrigation scheduling, and nitrogen application on drip-irrigated winter wheat under the guidance of Prof. Duan Aiwang. He is currently a postdoctoral researcher at Yangzhou University, China, where he applies his expertise in precision agriculture, crop phenotyping, and machine learning. His academic contributions include over 52 peer-reviewed publications with more than 1,450 citations and a collective impact factor exceeding 250. Additionally, Dr. Zain has actively contributed to the scientific community as a guest associate editor for special issues in Frontiers journals and as a reviewer for prominent agricultural and plant science journals. With teaching experience at the University of Lakki Marwat, Pakistan, he is committed to fostering interdisciplinary research in crop modeling and precision agriculture for enhanced crop production and soil-plant interaction.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award 

Dr. Muhammad Zain is a strong candidate for the “Best Researcher Award” in agricultural and environmental sciences. His robust academic background, including a Ph.D. in Agricultural Water and Soil Engineering and a postdoctoral fellowship in precision agriculture, establishes a solid foundation for his research pursuits. Dr. Zain’s work has made significant advancements in sustainable crop productivity, evidenced by his research on the effects of lateral spacing, irrigation scheduling, and nitrogen application on winter wheat growth. His interdisciplinary approach, integrating crop modeling and machine learning, positions him at the forefront of precision agriculture.

Education:

  • Postdoc in Agricultural Sciences, Yangzhou University, PR China
  • Ph.D. in Agricultural Water Soil Engineering, Aug. 2020, Chinese Academy of Agricultural Sciences, PR China
    • Advisor: Prof. Duan Aiwang
    • Thesis: “Effects of Lateral Spacings, Irrigation Scheduling, and Nitrogen Application Modes on Growth, Yield, and Water Productivity of Drip Irrigated Winter Wheat”
  • MSc. (Hons.) in Agronomy, Sept. 2016, University of Agriculture Faisalabad, Pakistan
    • Advisor: Dr. Imran Khan
    • Thesis: “Performance of Late Sown Wheat to Foliar Applied Thiourea at Different Growth Stages”

Work Experience:

  • Postdoctoral Researcher, College of Agriculture, Yangzhou University, Jiangsu, PR China (April 2023 – Present)
    • Focus areas: Precision agriculture, crop phenotyping, machine learning
    • Skills: Programming in Python and RStudio
  • Assistant Professor (Interim Placement), Department of Botany, University of Lakki Marwat, KP, Pakistan (May 2022 – March 2023)
    • Taught undergraduate courses in Botany, including Plant Systematics, Biodiversity, and Phycology
  • Full-time Researcher, Farmland Irrigation Research Institute, Chinese Academy of Agricultural Sciences, Henan, PR China (March 2018 – Aug. 2020)
    • Responsibilities: Experimental design, soil sampling, data analysis, report and article writing
  • Researcher, Department of Agronomy, University of Agriculture, Faisalabad, Pakistan (Feb. 2015 – Sept. 2016)
    • Responsibilities: Experimental design, soil sampling, data analysis, research article writing

Publication top Notes:

Assessing the combined impacts of microplastics and nickel oxide nanomaterials on soybean growth and nitrogen fixation potential

Achieving wheat seedling freezing injury assessment during the seedling stage using Unmanned Ground Vehicle (UGV) and hyperspectral imaging technology

APW: An ensemble model for efficient wheat spike counting in unmanned aerial vehicle images

Navigating water and nitrogen practices for sustainable wheat production by model-based optimization management systems: A case study of China and Pakistan

Corrigendum to Silicon a key player to mitigate chromium toxicity in plants: Mechanisms and future prospective [Plant Physiol. Biochem. 208 (2024) 108529

Dr. Muhammad Zain | Drone Sensors Awards | Best Researcher Award

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