MINJUAN WANG

Minjuan Wang, Associate Professor, graduated from Beihang University. She worked in Canada for two years from 2015 to 2017 as a visting scholar and has been working in China Agricultural University since 2019. 

Wang Lab (google.com)

Current research fields include: 

（1）Plant phenoomics based on computer vision；

（2）Key technologies of agricultural Internet of things under controlled environment, 

（3）Digital monitoring technology of animal and plant life information, 

Main research interests are to develop and adopt innovative sensing technologies and computational methodology for solving challenges in next-generation smart agriculture, aiming to improve the production of high-quality food in the face of the rapidly growing human population and global environmental change. 

In the past two years, she has presided over 4 provincial-level fund projects, and participated in more than 10 national/provincial-level research projects as a major researcher.

[1] IftikharA, Wang M.¹, Ji Qiang, Shi Qinglan*, Zheng L., Liu X.*, Gao W.* (2018) Integrated Sensor for Estimating in Situ Soil Water Content in Vertical Profile. JOURNAL OF AGRICULTURAL SCIENCE.10(10),53-65

[2] Zhang, L., Jia, J., Gui, G., Hao, X., Gao, W.*, & Wang, M.*(2018). Deep Learning based Improved Classification System for Designing Tomato Harvesting Robot.IEEE Access. 6, 67940-67950. 

[3] Zhang X., Yu L., Wang, M *, & Gao W.* (2018). FM-based: Algorithm Research on Rural Tourism Recommendation Combining Seasonal and Distribution Features. Pattern Recognition Letters.

[4] Hu H., Zhang G., Gao W*, &Wang, M.* (2019).Big Data Analytics for MOOC Video Watching Behavior Based on Spark. Neural Computing and Applications.1-9

[5] Zhang L, Jia J., Hao X., Zhao J., Gao W*, & Wang, M.* (2019). Deep Learning based Rapid Diagnosis System for Identifying Tomato Nutrition Disorders.KSII Transactions on Internet and Information Systems.13(4).

[6] Saeed, I. A., Wang, M.¹, Ren, Y., Shi, Q., Malik, M. H., Sha, T., Cai Q., Gao, W. (2018). Performance analysis of dielectric soil moisture sensor. Soil and Water Research. 

[7] Chen, Z., Zhang, L., Khattak, A. M., Gao, W.*, & Wang, M.* (2019). Deep Feature Fusion by Competitive Attention for Pedestrian Detection. IEEE Access. 7, 21981-21989.

[8] Li, Y., Jia, J., Zhang, L., Khattak, A. M., Sun, S., Gao, W.*, & Wang, M.* (2019). Soybean Seed Counting Based on Pod Image Using Two-Column Convolution Neural Network. IEEE Access, 7, 64177-64185.

[9] Yang, C., Yang, Z., Khattak, A. M., Yang, L., Zhang, W., Gao, W.*, & Wang, M.*(2019). Structured Pruning of Convolutional Neural Networks via L1 Regularization. IEEE Access, 7, 106385-106394.

[10]Wang, M., Dong, C., & Gao, W. (2019). Evaluation of the growth, photosynthetic characteristics, antioxidant capacity, biomass yield and quality of tomato using aeroponics, hydroponics and porous tube-vermiculite systems in bio-regenerative life support systems.Life sciences in space research, 22, 68-75. 

[11] Zhong, Z., Wang, M., Shi, Y., & Gao, W. (2018). A convolutional neural network-based flame detection method in video sequence. Signal, Image and Video Processing, 12(8), 1619-1627.

[12] Wang, M., Xie, B., Fu, Y., Dong, C., Hui, L., Liu, G. H & Liu, H^*. (2015). Effects of different elevated CO₂ concentrations on chlorophyll contents, gas exchange, water use efficiency, and PSII activity on C3 and C4 cereal crops in a closed artificial ecosystem. Photosynthesis Research, 1-12.

[13] Wang, M., Fu, Y., & Liu, H^*. (2016). Nutritional quality and ions uptake to PTNDS in soybeans. Food Chemistry, 192, 750-759.

[14] Wang, M., Hui, L., Dong, C., Fu, Y., & Liu, H^*. (2016). Elevated CO₂ Enhance Photosynthetic Efficiency, Ions Uptake and Antioxidant Activity of Gynura bicolor DC. Grown Porous-Tube Nutrient Delivery System under Simulated Microgravity. Plant Biology.18(3), 391-399. 

[15] Wang, M., Fu, Y., & Liu, H^*. (2015). Nutritional status and ion uptake response of Gynura bicolor DC. between Porous-tube and traditional hydroponic growth systems. Acta Astronautica, 113, 13-21. 

[16] Yu, J.¹, Wang, M¹, Dong, C., Xie, B., Liu, G., Fu, Y., & Liu, H^*. (2015). Analysis and evaluation of strawberry growth, photosynthetic characteristics, biomass yield and quality in an artificial closed ecosystem. SCIENTIA HORTICULTURAE, 195, 188-194.

[17] Dong, C.¹, Shao, L.¹, Wang, M.¹, Liu, G., Liu, H., Xie, B., ... & Liu, H^*. (2015). Wheat Carbon Dioxide Responses in Space Simulations Conducted at the Chinese Lunar Palace-1. AGRONOMY JOURNAL.108(1), 32-38. 

[18] Fu, Y., Li, L., Xie, B., Dong, C., Wang, M¹., Jia, B., ... & Liu, G. (2016). How to Establish a Bioregenerative Life Support System for Long-Term Crewed Missions to the Moon or Mars? Astrobiology, 16(12), 925-936. 

[19] Dong, C., Chu, Z., Wang, M.¹, Qin, Y., Yi, Z., Liu, H., & Fu, Y. (2018). Influence of nitrogen source and concentrations on wheat growth and production inside “Lunar Palace-1”. Acta Astronautica, 144, 371-379.

[20] Wang, M., Dong, C., Fu, Y., & Liu, H^*. (2015). Growth, morphological and photosynthetic characteristics, antioxidant capacity, biomass yield and water use efficiency of Gynura bicolor DC exposed to super-elevated CO₂. ACTA ASTRONAUTICA, 114, 138-146.

The software works Patent