Smart Big Data in Digital Agriculture Applications: Acquisition, Advanced Analytics, and Plant Physiology-Informed Artificial Intelligence
暫譯: 數位農業應用中的智慧大數據：獲取、高級分析與植物生理學導向的人工智慧

Haoyu Niu is a research engineer in the Institute of Data Science at Texas A&M University, College Station (TAMIDS). He works at the intersection of data science and cyberinfrastructure for smart agriculture. He joins a team of researchers from TAMIDS, Texas A&M's Department of Electrical & Computer Engineering, AgriLife Research, AgriLife Extension, and the School of Performance, Visualization and Fine Arts on a project to develop data-driven infrastructure that enables efficient irrigation using AI-derived crop-growth model based in UAV imaging and environmental data. His research interests include machine learning, computer vision, and robotics. More specifically, he is interested in applying big data, deep learning, and remote sensing technology for data analysis. He received his Ph.D. from Electrical Engineering and Computer Science department at UC, Merced.

YangQuan Chen is a full professor at the School of Engineering, University of California, Merced. He was on the faculty of Electrical and Computer Engineering Dept. of Utah State University, Logan, Utah from 2000 to 2012 where he was a tenured associate professor and the Director for the Center for Self-Organizing and Intelligent Systems (CSOIS) from 2004-2012. Dr. Chen published many books, papers and patents. He served as the General Co-Chair for ICUAS 2014 and 2017, 2019 (International Conference on Unmanned Aircraft Systems), and on the editorial board for journals like IEEE Trans. on Control Systems Technology, ISA Trans., ASME Journal of Dynamics Systems, Measurement and Control, IFAC journals of Control Engineering Practice as well as IFAC Mechatronics, Fractional Calculus and Applied Analysis, and Nonlinear Dynamics. He also serves as the Topical Editor-in-Chief (Field Robotics), International Journal of Advanced Robotics Systems (IJARS) and Intelligent Service Robotics. He serves as an editorial board member of MDPI Applied Sciences, Sensors. His ISI Publon H-index is 67 with more than 19.6k citations, GoogleScholar citation is 43.2k with H-index 91, H10-index 540. Dr. Chen was in the 2018, 2019, 2010 and 2021 Highly Cited Researchers List by Clarivate. He won Research of The Year awards from Utah State University (2012) and UC Merced (2020) respectively. In 2018, for his cumulative work in drones, Dr. Chen won "Senate Distinguished Scholarly Public Service award" that recognizes a faculty member who has energetically and creatively applied his or her professional expertise and scholarship to benefit the local, regional, national or international community.

牛浩宇是德州農工大學（Texas A&M University）數據科學研究所（TAMIDS）的研究工程師。他的工作位於數據科學與智慧農業的網路基礎設施交匯處。他與來自TAMIDS、德州農工大學電機與計算機工程系、AgriLife Research、AgriLife Extension以及表演、視覺化與美術學院的研究團隊合作，開展一個項目，旨在開發數據驅動的基礎設施，利用基於無人機影像和環境數據的人工智慧作物生長模型來實現高效灌溉。他的研究興趣包括機器學習、計算機視覺和機器人技術。更具體地說，他對應用大數據、深度學習和遙感技術進行數據分析感興趣。他在加州大學默塞德分校（UC Merced）的電機工程與計算機科學系獲得博士學位。

陳揚泉是加州大學默塞德分校工程學院的正教授。他曾於2000年至2012年在猶他州立大學（Utah State University）電機與計算機工程系任教，擔任終身副教授，並於2004年至2012年擔任自組織與智能系統中心（CSOIS）主任。陳博士出版了多本書籍、論文和專利。他曾擔任2014年、2017年和2019年無人機系統國際會議（ICUAS）的共同主席，並在多個期刊的編輯委員會中任職，如IEEE控制系統技術期刊、ISA期刊、ASME動力系統、測量與控制期刊、IFAC控制工程實踐期刊以及IFAC機電一體化、分數微積分與應用分析和非線性動力學期刊。他還擔任《國際先進機器人系統期刊》（IJARS）和《智能服務機器人》的主題編輯。他是MDPI應用科學、傳感器的編輯委員會成員。他的ISI Publon H指數為67，引用次數超過19.6k，Google Scholar引用次數為43.2k，H指數91，H10指數540。陳博士曾入選2018年、2019年、2020年和2021年Clarivate的高被引研究者名單。他分別於2012年和2020年獲得猶他州立大學和加州大學默塞德分校的年度研究獎。2018年，因其在無人機領域的累積工作，陳博士獲得「參議院傑出學術公共服務獎」，以表彰他積極創新地應用其專業知識和學術成果，造福當地、區域、國家或國際社區。