Wang Lab

Minjuan Wang
Professor (Associate)
China Agricultural University (CAU) · College of Information and Eletrical Engineering

Welcome to my webpage. I am an Associate Professor and PhD supervisor at China Agricultural University.

I graduated with a PhD in Biomedical Engineering from Beihang University in 2017 and with a master's degree in Crop Genetics and Breeding from Jilin University in 2011. I studied in Canada for two years from 2015 to 2017 and have been working at China Agricultural University since 2019 as an outstanding talent.

You can find out more about my group along with our current activities here.

Phone：136-0111-7404 E-mail: minjuan@cau.edu.cn

2024

Yang, S., Zheng, L., Wu, T., Sun, S., Zhang, M., Li, M., & Wang, M.* (2024). High-throughput soybean pods high-quality segmentation and seed-per-pod estimation for soybean plant breeding. Engineering Applications of Artificial Intelligence, 129, 107580.

陈慧颖,宋青峰,常天根,郑立华,朱新广,张漫王敏娟*.基于YOLOv5 m和CBAM-CPN的单分蘖水稻植株表型参数提取.农业工程学报，2024, 1-8.

2023

Wang, M.*, Li, W., Zhang, W., Li, G., Dong, K., Zheng, L., & Chen, Y. (2023). Single pig pose estimation using cross-stage stacked hourglass network. In Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023) (Vol. 12709, pp. 96-103). SPIE.

Guo, X., Zhong, Y., Zhao, M., Zhang, M., & Wang, M*. (2023). Algorithm for acquiring lettuce plant height based on image recognition network. In Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023) (Vol. 12709, pp. 81-88). SPIE

Mi, J., Ma, C., Zheng, L.,Zhang, M., Li, M., & Wang, M. * (2023). WGAN-CL: A Wasserstein GAN with confidence loss for small-sample augmentation. Expert Systems with Applications, 233, 120943.

Li, J., Wang, Y., Zheng, L., Zhang, M., & Wang, M.* (2023). Towards end-to-end deep RNN based networks to precisely regress of the lettuce plant height by single perspective sparse 3D point cloud. Expert Systems with Applications, 229, 120497.

陈孟燕,王敏娟,宋青峰,朱新广,李民赞 & 郑立华.(2023).基于ECA-FV-CNN的水稻单籽粒质量分级方法.农业机械学报(S2),235-243.

2022

Yang, S., Zheng, L., Chen, X., Zabawa, L., Zhang, M., & Wang, M.* (2022). Transfer learning from synthetic in-vitro soybean pods dataset for in-situ segmentation of on-branch soybean pods. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 1666-1675).

Wang, L., Zheng, L., & Wang, M. (2022). 3D Point Cloud Instance Segmentation of Lettuce Based on PartNet. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 1647-1655).

Li, G., Liu, X., Ma, Y., Wang, B., Zheng, L., & Wang, M.* (2022). Body size measurement and live body weight estimation for pigs based on back surface point clouds. Biosystems Engineering, 218, 10-22.

Zhang, Y., Li, M., Li, G., Li, J., Zheng, L., Zhang, M., & Wang, M.* (2022). Multi-phenotypic parameters extraction and biomass estimation for lettuce based on point clouds. Measurement, 112094.

Zhang, Y., Wu, M., Li, J., Yang, S., Zheng, L., Liu, X., & Wang, M. (2022). Automatic non-destructive multiple lettuce traits prediction based on DeepLabV3+. Journal of Food Measurement and Characterization, 1-17.

Si Yang, Lihua Zheng, Xieyuanli Chen, Laura Zabawa, Man Zhang, Minjuan Wang*. Transfer Learning from Synthetic In-vitro Soybean Pods Dataset for In-situ Segmentation of On-branch Soybean Pod[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2022.

郭希岳,李劲松,郑立华,张漫,王敏娟*. 利用 Re-YOLOv5 和检测区域搜索算法获取大豆植株表型参数[J]. 农业工程学报, 2022,38(15):186-194.

2021

Yang, S., Zheng, L., Yang, H., Zhang, M., Wu, T., Sun, S., ... & Wang, M.*(2021). A Synthetic Datasets Based Instance Segmentation Network for High-throughput Soybean Pods Phenotype Investigation. Expert Systems with Applications, 116403.

Yang, S., Zheng, L., He, P., Wu, T., Sun, S., & Wang, M.* (2021). High-throughput soybean seeds phenotyping with convolutional neural networks and transfer learning. Plant Methods, 17(1), 1-17.

Tuan, V. N., Dinh, T. D., Zhang, W., Khattak, A. M., Le, A. T., Saeed, I. A., ... & Wang, M.* (2021). A smart diagnostic tool based on deep kernel learning for on-site determination of phosphate, calcium, and magnesium concentration in a hydroponic system. RSC Advances, 11(19), 11177-11191.

Hao, X., Zhang, M., Zhou, T., Guo, X., Tomasetto, F., Tong, Y.*, & Wang, M.* (2021). An Automatic Light Stress Grading Architecture Based on Feature Optimization and Convolutional Neural Network. Agriculture, 11(11), 1126.

Si Yang, Lihua Zheng, Minjuan Wang*, Frédéric Boudon, Tingting Wu, Shi Sun, Peng He. Segmentation and recognition of high throughput soybean pods with a supervised edge attention network and synthetic datasets to extract pod harvestability traits [C]//CVPPA@ICCV. 2021.

王敏娟,刘小丫,马啸霄,常天根,宋青峰.基于堆叠沙漏网络的单分蘖水稻植株骨架提取[J].农业工程学报,2021,37(24):149-157.

王莹,李越,武婷婷,孙石,王敏娟*.基于密度估计和VGG-Two的大豆籽粒快速计数方法[J].智慧农业(中英文),2021,3(04):111-122.

2020

Hao, X., Jia, J., Gao, W., Guo, X., Zhang, W., Zheng, L., & Wang, M.* (2020). MFC-CNN: An automatic grading scheme for light stress levels of lettuce (Lactuca sativa L.) leaves. Computers and Electronics in Agriculture, 179, 105847.

Hao X., Jia J., Khattak, A. M., Zhang L., Guo X., Gao W.*, Wang M.* (2020).Growing Period Classification of Gynura bicolor DC Using GL-CNN. Computers and Electronics in Agriculture, 174, 105497.

Hao, X., Jia, J., Mi, J., Yang, S., Khattak, A. M., Zheng, L., Gao, W.*, Wang M.* (2020) An optimization model of light intensity and nitrogen concentration coupled with yield and quality. Plant Growth Regulation, 92(2), 319-331.

Tuan, V. N., Dinh, T. D., Khattak, A. M., Zheng, L., Chu, X., Gao, W.*, & Wang, M.* (2020). Multivariate Standard Addition Cobalt Electrochemistry Data Fusion for Determining Phosphate Concentration in Hydroponic Solution. IEEE Access, 8, 28289-28300.

Yang, S., Zheng, L., Gao, W., Wang, B., Hao, X., Mi, J., & Wang, M.* (2020). An Efficient Processing Approach for Colored Point Cloud-Based High-Throughput Seedling Phenotyping. Remote Sensing, 12(10), 1540.

Zhong, Z., Wang, M.*, Gao, W., & Zheng, L. (2020). A novel multisource pig-body multifeature fusion method based on Gabor features. Multidimensional Systems and Signal Processing, 1-24.

Zhong Z., Gao W.*, Khattak, A. M., Wang M.* (2020) A Novel Multi-Source Image Fusion Method for Pig-body Multi-feature Detection in NSCT Domain. Multimedia Tools and Applications, 79(35), 26225-26244.

Zhong Z., Wang M.*, Gao W.*(2020) A multisource image fusion method for multimodal pig-body feature detection. KSII Transactions on Internet and Information Systems, 4(11), 4395-4412.

Ngoc Tuan, V., Khattak, A. M., Zhu, H., Gao, W., & Wang, M.* (2020). Combination of Multivariate Standard Addition Technique and Deep Kernel Learning Model for Determining Multi-Ion in Hydroponic Nutrient Solution. Sensors, 20(18), 5314.

2019 and earlier

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

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).

Saeed, I. A., Wang, M.1, Ren, Y., Shi, Q., Malik, M. H., Sha, T., Cai Q., Gao, W. (2019). Performance analysis of dielectric soil moisture sensor. Soil and Water Research.

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.

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.

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.

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.

Wang, M., Zhong, Z., & Gao, W. (2019, October). An Exploration of Modal Pig-body Phenotype Detection Based on Hybrid Patterns. In Proceedings of the 3rd International Conference on Computer Science and Application Engineering. ACM, 1-5.

Hao, X., Jia, J., Chu, X., Tao, S., Gao, W., & Wang, M. (2019). Greenhouse crop model: methods, trends and future perspectives. International Agricultural Engineering Journal, 28(4), 386-398.

Wang, M., Zhong, Z., & Gao, W. (2018, October). Development and Challenges of Phenotypic Characterization in Modal Animals. In Proceedings of the 2nd International Conference on Computer Science and Application Engineering, ACM, 1-7.

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.

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.

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

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.

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.

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

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.

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.

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.

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.

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.

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.

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.

杨斯,高万林,米家奇,吴梦柳,王敏娟*,郑立华.基于RGB-D相机的蔬菜苗群体株高测量方法[J].农业机械学报, 2019, 50(S1):128-135.

Minjuan Wang
Professor (Associate)
China Agricultural University (CAU) · College of Information and Eletrical Engineering

Short CV

Publications

2024

2023

2022

2021

2020

2019 and earlier

Minjuan WangProfessor (Associate) China Agricultural University (CAU) · College of Information and Eletrical Engineering

Short CV

Publications

2024

2023

2022

2021

2020

2019 and earlier

Minjuan Wang
Professor (Associate)
China Agricultural University (CAU) · College of Information and Eletrical Engineering