[1]DIAGNOSTIC MODEL FOR WHEAT LEAF CONDITIONS USING IMAGE FEATURES AND A SUPPORT VECTOR MACHINE. Du, K.,Sun, Z.,Li, Y.,Zheng, F.,Chu, J.,Su, Y.. 2016

[2]Application of support vector machine for detecting rice diseases using shape and color texture features. Yao, Qing,Guan, Zexin,Zhou, Yingfeng,Tang, Jian,Hu, Yang,Yang, Baojun. 2009

[3]Quick image processing method of HJ satellites applied in agriculture monitoring. Yu Haiyang,Liu Yanmei,Yang Guijun,Yang Xiaodong,Yu Haiyang,Liu Yanmei,Yang Guijun,Yang Xiaodong. 2016

[4]Dynamic monitoring and driving power analysis of LUCC based on remote sensing in Beijing in recent thirty years. Gu, Xiaohe,Guo, Wei,Dong, Yansheng,Wang, Yanchang. 2013

[5]Comparative Study on Remote Sensing Invertion Methods for Estimating Winter Wheat Leaf Area Index. Xie Qiao-yun,Huang Wen-jiang,Peng Dai-liang,Zhang Qing,Xie Qiao-yun,Liang Dong,Huang Lin-sheng,Zhang Dong-yan,Cai Shu-hong,Yang Gui-jun. 2014

[6]Support-Vector-Machine-Based Models for Modeling Daily Reference Evapotranspiration With Limited Climatic Data in Extreme Arid Regions. Wen, Xiaohu,Si, Jianhua,He, Zhibin,Yu, Haijiao,Wu, Jun,Shao, Hongbo,Shao, Hongbo. 2015

[7]A New Strategy in Observer Modeling for Greenhouse Cucumber Seedling Growth. Qiu, Quan,Qiao, Xiaojun,Zheng, Chenfei,Wang, Wenping,Yu, Jingquan,Shi, Kai,Bai, He. 2017

[8]Retrieving Soybean Leaf Area Index from Unmanned Aerial Vehicle Hyperspectral Remote Sensing: Analysis of RF, ANN, and SVM Regression Models. Yuan, Huanhuan,Yang, Guijun,Wang, Yanjie,Liu, Jiangang,Yu, Haiyang,Feng, Haikuan,Xu, Bo,Zhao, Xiaoqing,Yang, Xiaodong,Yuan, Huanhuan,Li, Changchun,Wang, Yanjie,Yuan, Huanhuan,Yang, Guijun,Liu, Jiangang,Feng, Haikuan,Yang, Xiaodong,Yang, Guijun,Yu, Haiyang,Xu, Bo,Zhao, Xiaoqing,Yang, Xiaodong. 2017

[9]Geographic Characterization of Leccinum rugosiceps by Ultraviolet and Infrared Spectral Fusion. Yao, Sen,Liu, Hong-Gao,Li, Jie-Qing,Yao, Sen,Wang, Yuan-Zhong,Li, Tao,Wang, Yuan-Zhong. 2017

[10]Verification and predicting temperature and humidity in a solar greenhouse based on convex bidirectional extreme learning machine algorithm. Zou, Weidong,Yao, Fenxi,Zhang, Baihai,Guan, Zixiao,He, Chaoxing.

[11]Monitoring Plastic-Mulched Farmland by Landsat-8 OLI Imagery Using Spectral and Textural Features. Hasituya,Chen, Zhongxin,Wang, Limin,Wu, Wenbin,Li, He,Jiang, Zhiwei. 2016

[12]Feature Extraction and Classification of Animal Blood Spectra with Support Vector Machine. Lu Peng-fei,Fan Ya,Zhou Lin-hua,Gao Bin,Qian Jun,Liu Lin-na,Zhao Si-yan,Kong Zhi-feng. 2017

[13]Kharif Dryland Crop Identification Based on Synthetic Aperture Radar in the North China Plain. Dong Zhaoxia,Wang Di,Zhou Qingbo,Chen Zhongxin. 2015

[14]Quantitative Analysis of Near-Infrared Spectroscopy by Combined Stationary Wavelet Transform-Support Vector Machine. Xing, Li,Chen, Longjian. 2013

[15]The influence of soil particle sizes on hyperspectral prediction of soil organic matter content. Yao, Yanmin,Si, Haiqing,Wang, Deying,Huang, Qing,Chen, Zhongxin,Liu, Ying. 2015

[16]Geographical classification of apple based on hyperspectral imaging. Guo, Zhiming,Huang, Wenqian,Chen, Liping,Zhao, Chunjiang. 2013

[17]ESTIMATION OF MAIZE PLANTING AREA USING MIXED FIELD DECOMPOSITION OF MULTI-TEMPORAL TM IMAGES. Gu, Xiaohe,Dong, Yansheng,Ma, Li,Dong, Yingying. 2012

[18]Quantitative Sequence- Activity Model Analysis of Oligopeptides Coupling an Improved High- Dimension Feature Selection Method with Support Vector Regression. Dai, Zhijun,Zhang, Hongyan,Yuan, Zheming,Wang, Lifeng,Dai, Zhijun,Zhang, Hongyan,Bai, Lianyang,Yuan, Zheming,Bai, Lianyang. 2014

[19]STUDY ON AOTF-BASED NEAR-INFRARED SPECTROSCOPY ANALYSIS SYSTEM OF FARM PRODUCE QUALITY. Zhang, Xiaochao,Hu, Xiaoan,Zhang, Yinqiao,Wang, Hui,Zhang, Hui. 2009

[20]Detection of defects on apple using B-spline lighting correction method. Li, Jiangbo,Huang, Wenqian,Guo, Zhiming. 2013