KEYNOTE SPEAKERS
  • Fetion Fengxin Yan
    Northwest A & F University, Department of Mechanical Engineering, Yangling, China
    Dr. Yan is likely to present on the topic of transforming Chinese traditional agriculture to meet modern requirements. Dr. Yan's presentation is expected to address key aspects of modernizing Chinese agriculture, such as:

    • Implementing digital technologies to improve efficiency and reduce carbon emissions
    • Developing automated and intelligent farming systems
    • Optimizing resource utilization and promoting environmentally friendly production methods
    • Enhancing agricultural infrastructure and industrial competitiveness
    The talk will likely highlight the importance of technological innovation in driving the transition from traditional to modern agricultural practices in China, with a focus on achieving high-quality, sustainable development in the agricultural sector.
  • Xu Mao
    Assoc. Prof., Vice Dean of the College of Mechanical and Electrical Engineering, Shihezi University, China
    Assoc. Prof. Xu Mao's planned keynote speech about key technologies in smart agriculture:

    • Internet of Things (IoT) sensors and devices for monitoring environmental conditions, soil moisture, crop health, etc
    • Artificial intelligence and machine learning for data analysis, predictive modeling, and decision support
    • Precision agriculture techniques using GPS, satellite imagery, and variable rate technology
    • Agricultural drones and robots for tasks like crop monitoring, spraying, and harvesting
    • Smart irrigation systems that optimize water usage

    These technologies aim to increase agricultural productivity, optimize resource use, reduce environmental impact, and improve decision-making for farmers.
  • Shukhrat Shokirov
    PhD, University of Maryland, College Park, United States
    Shukhrat Shokirov, the keynote speaker for AEGIS_V 2025, is a distinguished researcher in the field of remote sensing and environmental science. He completed his PhD at the Australian National University, focusing on using terrestrial and UAV LiDAR data for animal habitat modeling. Following his doctoral studies, Shokirov conducted postdoctoral research at the same institution, investigating the relationship between fuel moisture and fire severity using MODIS and Sentinel datasets. This work was particularly relevant to the catastrophic fires that affected Australia in 2019-2020. Currently, he holds a position as a Postdoctoral Research Associate at the University of Maryland's Department of Geographical Sciences in College Park.

    At AEGIS-V 2025, Shokirov's keynote speech will address factors contributing to fire severity and their impact on forest ecosystems. His expertise in remote sensing techniques and experience with analyzing major fire events make him well-suited to discuss this critical topic, which has significant implications for environmental management and disaster preparedness.
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