Dr. Jiangui Zhao is a distinguished researcher at the College of Information Science and Engineering, Shanxi Agricultural University, China, specializing in smart agriculture and precision crop monitoring. His work focuses on the modeling and visualization of nitrogen and chlorophyll levels in Solanum lycopersicum L. (tomato) leaves using hyperspectral imaging for nitrogen stress diagnosis. With a strong foundation in non-destructive testing technologies such as hyperspectral imaging and Raman spectroscopy, Dr. Zhao advances agricultural innovation through crop growth monitoring, pest and disease early warning, and quality assessment. He has contributed significantly to projects including the Shanxi Province Doctoral Research Initiation Grant, the Shanxi Agricultural University Talent Introduction Research Start-up Fund, and the National Key Research and Development Program of China, among others. His scholarly contributions are reflected in five research publications, accumulating 24 citations across 24 documents, and an h-index of 3, highlighting the academic impact of his work. Through his research, Dr. Zhao remains committed to integrating data-driven technologies and intelligent sensing to enhance the efficiency, sustainability, and precision of agricultural management systems in modern greenhouse and field environments.