Prof Dr HONG SUN | Agricultural Engineering | Best Researcher Award |

Prof Dr. HONG SUN | Agricultural Engineering | Best Researcher Award.

China Agricultural University,China

Professional Profiles:

SCOPUS

👨‍🎓 Bio Summary:

Prof. Dr. Hong Sun is a distinguished expert in Smart Agriculture, currently serving as a Professor at China Agricultural University. She is actively involved in international academic societies and serves as an associate editor for the Computers and Electronics in Agriculture (COMPAG) journal. With a Ph.D. from China Agricultural University, Prof. Sun has dedicated her career to advancing agricultural engineering, focusing on areas such as Precision Agriculture System Integration, Agricultural Informatization Application, and Intelligence Sensing.

🎓 Education:

Prof. Sun completed her Ph.D. at China Agricultural University, building on her earlier studies with a Master’s degree from the same institution and a Bachelor’s degree from Inner Mongolia Agricultural University.

🔍 Research Focus:

Her research interests encompass a wide array of topics crucial to modern agriculture, including Electrification and Automation, Advanced Sensors, Wireless Sensor Networks, and Artificial Intelligence Applications in Agriculture. She is particularly interested in the application of ICT and Artificial Intelligence in agriculture, as well as Remote Sensing, Spectroscopy, and Machine Vision.

🏆 Honors & Awards:

Throughout her career, Prof. Sun has garnered numerous honors and awards for her outstanding contributions to the field of agricultural engineering. These accolades reflect her dedication to excellence and innovation in research.

Professional Experience: 💼

With a career spanning over a decade, Prof. Sun has held various academic positions, including Lecturer and Associate Professor at China Agricultural University. She has also served as a Visiting Scholar at Washington State University, where she furthered her research in Precision and Automated Agricultural Systems.

 📚 Top Noted Publications :

Estimation of Powdery Mildew of Wheat Canopy Based on In-Situ Hyperspectral Responses and Characteristic Wavelengths Optimization

Authors: An, L.; Liu, Y.; Liu, G.; Li, M.; Liu, M.

Journal: Crop Protection, 2024, 184

Citation: 0

Year of Publish: 2024

 

Improved Random Patches and Model Transfer for Deriving Leaf Mass per Area across Multispecies from Spectral Reflectance

Authors: Fei, S.; Xiao, S.; Xu, D.; Xiao, Y.; Ma, Y.

Journal: Computers and Electronics in Agriculture, 2024, 218

Citation: 0

Year of Publish: 2024

 

Classification of Wheat Powdery Mildew Based on Hyperspectral: From Leaves to Canopy

Authors: An, L.; Liu, Y.; Wang, N.; Sun, H.; Li, M.

Journal: Crop Protection, 2024, 177

Citation: 1

Year of Publish: 2024

 

Quantitative Analysis of Water-Soluble Phosphorous Based on Raman Spectroscopy | 基于拉曼光谱的水溶性磷定量分析

Authors: Li, Q.-C.; Li, M.-Z.; Yang, W.; Sun, H.; Zhang, Y.

Journal: Guang Pu Xue Yu Guang Pu Fen Xi/Spectroscopy and Spectral Analysis, 2023, 43(12), pp. 3871–3876

Citation: 0

Year of Publish: 2023

 

Solar-induced Chlorophyll Fluorescence Extraction Based on Heterogeneous Light Distribution for Improving In-Situ Chlorophyll Content Estimation

Authors: Zhao, R.; Tang, W.; An, L.; Liu, G.; Liu, Y.

Journal: Computers and Electronics in Agriculture, 2023, 215

Citation: 1

Year of Publish: 2023

Author Metrics 📊 : 

Prof. Sun’s research impact is evident in her author metrics, with her publications receiving recognition and citations in the scientific community. Her work is highly regarded for its innovative approaches and practical applications in agriculture.

📅 Research Timeline:

Over the years, Prof. Sun has been dedicated to conducting impactful research in agricultural engineering. Her research timeline reflects a continuous commitment to excellence and a passion for advancing the field of Smart Agriculture.