Recent Research： 

Title:Prediction of Distribution of Chlorophyll Content for Longan Leaves Based on Hyperspectral Imaging System 

Abstract: In order to measure the color distribution of chlorophyll content in longan leaves,a non-destructive hyperspectral measurement model of chlorophyll content for lognan leaves was presented. Hyperspectral images of 300 longan leaves in 3 periods were acquired via an online hyperspectral imaging system in the spectral region of 369–988 nm.An automatic masking method was used to extract the region of interests(ROIs).The principal component analysis (PCA) , multidimensional scaling (MDS), locally-linear embedding (LLE), isometric mapping (Isomap) and laplacian eigenmaps (LE) manifold learning algorithms were applied to extract features of the original spectrum．Then the extracted features were utilized to establish different SVR (support vector machine regression) models to predict the chlorophyll content in the longanleaves , respectively. The deep learning model sparse auto-encoder (SAE) was also used to predict the chlorophyll content separately. Finally, according to the performance of these models, the best model was used to measure the distribution of chlorophyll content in longan leaves.The best model is PCA-PSO-SVR, whose Rc² and RMSEc were 0.9798 and 0.1203, respectively. The overall results demonstrated the potentiality of hyperspectral imaging as a non-destructive method to obtain the content and distribution of chlorophyll content in longan leaves.And deep learning model could be effectively used to predict the chlorophyll content.

Note:This is a paper to be published.The title of his thesis will be close to the research title above. The machine learning model may be extended to the decision system in his thesis.

Main Journal Publications:

1.Algorithm of defogging UAV's aerial images based on DCP and OCE, Transactions of the Chinese Society for Agricultural Machinery.Yue Xuejun;Wang Linhui; Lan Yubin; Liu Yongxin; Ling Kangjie;Gan Haiming.v 47, p419-425,October 15, 2016.(in Chinese)

2.Non-destructive hyperspectral measurement model of chlorophyll content for citrus leaves,Transactions of the Chinese Society of Agricultural Engineering.Yue Xuejun; Quan Dongping; Hong Tiansheng; Wang Jian; Qu Xiangming; Gan Haiming.v 31, n 1, p 294-302, January 1, 2015.(in Chinese.)

3.Design and test of unmanned aerial vehicle video transfer system based on WiFi,Transactions of the Chinese Society of Agricultural Engineering.Wang Jian; Wang Linhui; Yue Xuejun; Liu Yongxin; Quan Dongping; Qu Xiangming; Gan Haiming; Wang Ju. v 31, p 47-51, November 1, 2015.(in Chinese.)

4.Design of a precision spraying control system with unmanned aerial vehicle based on image recognition. Journal of South China Agricultural University.Wang Linhui,Gan Haiming, Yue Xuejun, et al.v37, no. 6, pp.23-30,2016.(in Chinese.)

5.Impacts of small-size unmanned aerial vehicle vibration characteristics on ultrasonic transducers. Journal of South China Agricultural University.Yue Xuejun,Wang Jian,Lan Yubin,Cen Zhenzhao,Liu Yongxin,Ling Kangjie,Gan Haiming,Wang Linhui.2016,(06):10-15.(in Chinese.)

6.Design of a farm product traceability system with QR code based on mobile internet.Journal of South China Agricultural University.Ling Kangjie,Yue Xuejun,Liu Yongxin,Wang Jian,Wang Linhui,Gan Haiming.2017,38(3):118-124.(in Chinese.)

7.On Increasing the Evaluation of Innovation Ability for Engineering Students,Journal of Higher Education.Yue Xuejun,Gan Haiming,Zhang Hui,Li Hai,Li Lingyan,Cai Kun,Ling Kangjie.2017,(08):7-8+10.(in Chinese.)

Research Projects:

1.Scientific and Technological Innovation Project of Water Conservancy of Guangdong Province,China.Demonstration and Research on the Key Technology of Water-saving Irrigation Based on UAV in Guangdong Province (Grant No. 2016-18), 2016-2019.Ranking:16/20;

2.Science and Technology Project of Guangdong Province,China.Research Demonstration of Remote Monitoring Control System of Soil Moisture and Precious Irrigation(Grant No. 2014A02020810),2014-2016.Ranking:12/12.