About
Education1996.9-1999.7, Doctor’s degree in Agricultural Mechanics Engineering, China Agricultural University 1994.9-1996.7, Master's degree in System Engineering, China Agricultural University 1990.9-1994.7, Baccalaureate in Agricultural Engineering, Shandong Agricultural UniversityResumeDaoliang Li, is full professor of College of Information and Electrical Engineering and the director of the National Innovation Center for Digital Fishery, China Agricultural University. He received the Ph.D. degree from the College of Engineering, China Agricultural University, his principal research interest is ICTs in aquaculture and agriculture, especially for information processing, smart sensors and smart control system in fish farming and aquaponics. He is the editor-in-chief of International Journal of Information processing in Agriculture (https://www.journals.elsevier.com/information-processing-in-agriculture/) and the Chair of the Work Group for Advanced Information Processing in Agriculture, International Federation for Information Processing. He is also the deputy director for the of Expert Consultant Committee for National Agricultural and Rural informatization, Ministry of Agriculture and rural development. He was the chairman of of 1st to 13th International conference on computer and computing technologies in agriculture (www.iccta.cn). He coordinated more than 100 international and national research projects, such as FP6, FP7, Horizon2020 and has published more than 300 international journals papers,8 books. he also has owned 31 Chinese patents. Teaching researchSocial PositionHe is the editor-in-chief of International Journal of Information processing in Agriculture (https://www.journals.elsevier.com/information-processing-in-agriculture/) and the Chair of the Work Group for Advanced Information Processing in Agriculture, International Federation for Information Processing. He is also the deputy director for the of Expert Consultant Committee for National Agricultural and Rural informatization, Ministry of Agriculture and rural development. He was the chairman of of 1st to 13th International conference on computer and computing technologies in agriculture (www.iccta.cn). Dynamic activityField2019,Critical Technologies and Equipment for Accurate Measurement and Control of Intensive Aquaculture,National Science and Technology Progress Award by State Council, second class prize, first contributor 2017-2019, Development and demonstration project of intelligent control and equipment for the healthy cultivation of freshwater fish, project leader. 2016, Agriculture technologies promotion prize by the Ministry of Agriculture of China, first class prize, first contributor 2016, Science and technology promotion prize of Shandong Province, first class prize, first contributor 2016, Technological leading talent of national high-level talent special support plan (ten thousand talent support plan) 2016, Changjiang Scholars Chair Professor by the Ministry of Education of China 2016, National Chief scientific expert of Internet of Things technology in Agriculture 2016, Chair, Joint Conference and Development Forum on Agricultural Informatization and Modernization, Dongying China 2015-2018, project leader, Fast detection mechanism for three-nitrogen in aquaculture water based on Raman spectroscopy and multi-sensors data fusion, Natural Science Foundation of China. 2015, Chair, Joint International Conference on Intelligent Agriculture, Beijing China 2015-2017, China project leader, Sustainable Technology and Research Between EU and China, European Committee Horizon 2020. 2014-2017, China project leader, Innovative model & demonstration based water management for resource efficiency in integrated multitrophic aquaculture and horticulture systems, European Committee FP7 2014, Editor-in-Chief, Information Processing in Agriculture (Elsevier Journal) 2013, Joint International Conference on Smart Agriculture, Beijing China 2013-2016, Project leader, Advanced sensing and intelligent processing key technologies cooperation for Agriculture Internet of things, International cooperation projects 2013-2014, Project leader, Detection method for elusive cotton impurity online based on hyperspectral Imaging, National Natural Science Foundation of China 2012-2016, Chief scientist, Digital fishery and Internet of things for modern aquaculture, ministry of agriculture 2012-2014, Project leader, Research on advanced sensing and intelligent processing key technologies cooperation in Agriculture Internet of things, International Science and Technology Cooperation special program 2012, Project leader, Research on key technologies for wireless monitoring in fish farming, China-EU Science and Technology Cooperation Specific program 2012, Exchange Scientist, Royal society New Zealand (RSNZ) and Ministry of Science and Technology, China. 2011-2014, project leader, Advanced sensor and system technologies for agricultural environmental monitoring, Chinese Science & Technology Support Program 2011-2013, Project leader, Integration and demonstration for agricultural field information comprehensive sensing and key technologies of intelligent processing National Key Technology Support Program, 2011-2013, Project technical leader, Digital integrated system test and transformation for intensive aquaculture, National Agricultural Science and Technology Achievements Transformation Fund 2011-2013, China Project leader, Advanced sensor and sensor network for fish farming (SENSORFISH), European Committee FP7 2010-2013, Project leader, Identification method for cotton foreign fibers based on the automatic visual inspection online, National Natural Science Foundation of China 2010-2011, Academic visiting scholar, Fraunhofer AST (DE) 2010-2011, Project leader, Advanced sensor system for Multi-parameter water quality detection in fish farming, foreign advanced technology importation programme 2009-2013, Project leader, Online recognition method of cotton foreign fibers based on automatic visual inspection, Ministry of education 2009-2011, Project leader, Research on digital integrated system for intensive aquaculture, Beijing Natural Science Foundation 2009-2012, Project leader, Smart sensors and wireless network for fish farming, National important S&T special Programme 2009-2010, Project leader, Intensive aquaculture wireless monitoring of water quality critical equipment introduction, 948 Program 2007-2010, Project leader, Intelligent control system for intensive fish farming, National high S&T programme 2007-2010, Project leader, Intensive aquaculture digital integrated system research and application, National 863Program 007-2009, China project leader, ICT for rural development, applications and Innovations, European Union FP6 2007-2009, China project leader, A collaborative platform for working and living in rural areas, European Union FP6 06-2009, Project leader, Freshwater healthy aquaculture network management and disease auxiliary diagnosis system, National Science and Technology Support Program 2006-2009, Project leader, Automatic control & Intelligent system for fish farming, Chinese Science & Technology Support Program 06-2006, Academic visiting scholar, University of Rome (Italy) 2005-2006, China Project leader, Dynamic Monitoring and Revegetation of Contaminated Lands by Mining Activities---A 3S (GIS, RS, and DSS) Based System. Bilateral S&T cooperation between China and Bulgaria. 004-2006, Project leader, Remote diagnostic techniques of agricultural illnesses and pests, Henry Fok young teacher Foundation 2004 – 2006, China Project leader, EXTRACT–IT (Application of information technologies for the sustainable management of extractive industry activities), Asia IT & C program 2004 – 2006, China Project leader, VEGNET Enhancing Supply Chain management with Internet technologies, Asia IT & C program. Open CourseProject2019,Critical Technologies and Equipment for Accurate Measurement and Control of Intensive Aquaculture,National Science and Technology Progress Award by State Council, second class prize, first contributor 2017-2019, Development and demonstration project of intelligent control and equipment for the healthy cultivation of freshwater fish, project leader. 2016, Agriculture technologies promotion prize by the Ministry of Agriculture of China, first class prize, first contributor 2016, Science and technology promotion prize of Shandong Province, first class prize, first contributor 2016, Technological leading talent of national high-level talent special support plan (ten thousand talent support plan) 2016, Changjiang Scholars Chair Professor by the Ministry of Education of China 2016, National Chief scientific expert of Internet of Things technology in Agriculture 2016, Chair, Joint Conference and Development Forum on Agricultural Informatization and Modernization, Dongying China 2015-2018, project leader, Fast detection mechanism for three-nitrogen in aquaculture water based on Raman spectroscopy and multi-sensors data fusion, Natural Science Foundation of China. 2015, Chair, Joint International Conference on Intelligent Agriculture, Beijing China 2015-2017, China project leader, Sustainable Technology and Research Between EU and China, European Committee Horizon 2020. 2014-2017, China project leader, Innovative model & demonstration based water management for resource efficiency in integrated multitrophic aquaculture and horticulture systems, European Committee FP7 2014, Editor-in-Chief, Information Processing in Agriculture (Elsevier Journal) 2013, Joint International Conference on Smart Agriculture, Beijing China 2013-2016, Project leader, Advanced sensing and intelligent processing key technologies cooperation for Agriculture Internet of things, International cooperation projects 2013-2014, Project leader, Detection method for elusive cotton impurity online based on hyperspectral Imaging, National Natural Science Foundation of China 2012-2016, Chief scientist, Digital fishery and Internet of things for modern aquaculture, ministry of agriculture 2012-2014, Project leader, Research on advanced sensing and intelligent processing key technologies cooperation in Agriculture Internet of things, International Science and Technology Cooperation special program 2012, Project leader, Research on key technologies for wireless monitoring in fish farming, China-EU Science and Technology Cooperation Specific program 2012, Exchange Scientist, Royal society New Zealand (RSNZ) and Ministry of Science and Technology, China. 2011-2014, project leader, Advanced sensor and system technologies for agricultural environmental monitoring, Chinese Science & Technology Support Program 2011-2013, Project leader, Integration and demonstration for agricultural field information comprehensive sensing and key technologies of intelligent processing National Key Technology Support Program, 2011-2013, Project technical leader, Digital integrated system test and transformation for intensive aquaculture, National Agricultural Science and Technology Achievements Transformation Fund 2011-2013, China Project leader, Advanced sensor and sensor network for fish farming (SENSORFISH), European Committee FP7 2010-2013, Project leader, Identification method for cotton foreign fibers based on the automatic visual inspection online, National Natural Science Foundation of China 2010-2011, Academic visiting scholar, Fraunhofer AST (DE) 2010-2011, Project leader, Advanced sensor system for Multi-parameter water quality detection in fish farming, foreign advanced technology importation programme 2009-2013, Project leader, Online recognition method of cotton foreign fibers based on automatic visual inspection, Ministry of education 2009-2011, Project leader, Research on digital integrated system for intensive aquaculture, Beijing Natural Science Foundation 2009-2012, Project leader, Smart sensors and wireless network for fish farming, National important S&T special Programme 2009-2010, Project leader, Intensive aquaculture wireless monitoring of water quality critical equipment introduction, 948 Program 2007-2010, Project leader, Intelligent control system for intensive fish farming, National high S&T programme 2007-2010, Project leader, Intensive aquaculture digital integrated system research and application, National 863Program 2007-2009, China project leader, ICT for rural development, applications and Innovations, European Union FP6 2007-2009, China project leader, A collaborative platform for working and living in rural areas, European Union FP6 2006-2009, Project leader, Freshwater healthy aquaculture network management and disease auxiliary diagnosis system, National Science and Technology Support Program 2006-2009, Project leader, Automatic control & Intelligent system for fish farming, Chinese Science & Technology Support Program 2006-2006, Academic visiting scholar, University of Rome (Italy) 2005-2006, China Project leader, Dynamic Monitoring and Revegetation of Contaminated Lands by Mining Activities---A 3S (GIS, RS, and DSS) Based System. Bilateral S&T cooperation between China and Bulgaria. 2004-2006, Project leader, Remote diagnostic techniques of agricultural illnesses and pests, Henry Fok young teacher Foundation 2004 – 2006, China Project leader, EXTRACT–IT (Application of information technologies for the sustainable management of extractive industry activities), Asia IT & C program 2004 – 2006, China Project leader, VEGNET Enhancing Supply Chain management with Internet technologies, Asia IT & C program. Thesis
1. Zhou,Xinhui, Li,Daoliang, Surface-enhanced Raman Spectroscopy with Partial Least Squares Regression for Rapid and Accurate Detection of Malachite Green in Aquaculture Water Using Large-size Gold Nanoparticles, Spectroscopy Letters,2020, 2. Li,Zhen, Li,Daoliang, Highly sensitive and selective method for detection of trace amounts of nitrite in aquaculture water by SERRS coupled with diazo reaction, Sensors and Actuators B: Chemical,2019,297, 126757 3. Wei, Yaoguang; Jiao, Yisha; An, Dong,Li,Daoliang, Review of Dissolved Oxygen Detection Technology: From Laboratory Analysis to Online Intelligent Detection, Sensors,2019,18,19,3995 4. Li, Daoliang; Hao, Yinfeng; Duan, Yanqing, Nonintrusive methods for biomass estimation in aquaculture with emphasis on fish: a review, Reviews in Aquaculture,2019,1-22 5. Wei,Yaoguang, Li,Wenshu , Li,Daoliang, Equipment and Intelligent Control System in Aquaponics: A Review, IEEE Access,2019,7, 169306 - 169326 6. Wang,Tan, Li ,Daoliang, Application of Graphene-Based Materials for Detection of Nitrate and Nitrite in Water—A Review, Sensors,2019,20,54 7. Li, Daoliang ; Wang, Peng; Du, Ling, Path Planning Technologies for Autonomous Underwater Vehicles-A Review, IEEE ACCESS,2019,7, 9745-9768 8. Zhou, Xinhui; Zhang, Jiaran; Pan, Zhongli; Li daoliang, Review of Methods for the Detection and Determination of Malachite Green and Leuco-Malachite Green in Aquaculture, CRITICAL REVIEWS IN ANALYTICAL CHEMISTRY ,2019,49,1-20 9. Qiao, Xi; Bao, Jianhua; Zhang, Hang; Wan, Fanghao; Li, Daoliang,Underwater sea cucumber identification based on Principal Component Analysis and Support Vector Machine , MEASUREMENT, 2019,133,44-455 10.Wang, Yang ,Kuckelkorn, Jens ,Li, Daoliang,Du, Jiangtao Evaluation on distributed renewable energy system integrated with a Passive House building using a new energy performance index ENERGY 2018 161 81-89 11.Wang, Cong,Li, Zhen ,Pan, Zhongli,Li, Daoliang A High-Performance Optoelectronic Sensor Device for Nitrate Nitrogen in Recirculating Aquaculture Systems SENSORS 2018 18 3382 12.C. Wang, Z. Li, Z.L. Pan, D.L. Li Development and characterization of a highly sensitive fluorometric transducer for ultra low aqueous ammonia nitrogen measurements in aquaculture Computers and Electronics in Agriculture 2018 150 364-373 13.Q. Ren, L. Zhang, Y.G. Wei, D.L. Li A method for predicting dissolved oxygen in aquaculture water in an aquaponics system Computers and Electronics in Agriculture 2018 151 384-391 14.S.Y. Liu, L.Q. Xu, Q.C. Li, X.H. Zhao, D.L. Li, Fault Diagnosis of Water Quality Monitoring Devices Based on Multiclass Support Vector Machines and Rule-Based Decision Trees Ieee Access 2018 6 22184-22195 15.Y.W. Li, Y. Ding, D.L. Li, Z. Miao Automatic carbon dioxide enrichment strategies in the greenhouse: A review Biosystems Engineering 2018 171 101-119 16.Y. Ding, L. Wang, Y.W. Li, D.L. Li, Model predictive control and its application in agriculture: A review Computers and Electronics in Agriculture 2018 151 104-117 17.Y.Y. Chen, H.H. Yu, Y.J. Cheng, Q.Q. Cheng, D.L. Li, A hybrid intelligent method for three-dimensional short-term prediction of dissolved oxygen content in aquaculture Plos One 2018 13(2) e0192456 18.Zhang Y, Wang C, Yan L, Li D, Zhang X. An On-Line Oxygen Forecasting System for Waterless Live Transportation of Flatfish Based on Feature Clustering. Applied Sciences. 2017;7(12):957. 19.Zhang Y, Fu Z, Xiao X, Zhang X, Li D. MW-MTM: A mobile wireless monitoring and traceability management system for water-free live transport of aquatic products. Journal of Food Process Engineering. 2017;40(3):e12495. 20.Yang H, Hassan SG, Wang L, Li D. Fault diagnosis method for water quality monitoring and control equipment in aquaculture based on multiple SVM combined with D-S evidence theory. Computers and Electronics in Agriculture. 2017;141:96-108. 21.Xu L, Liu S, Li D. Prediction of water temperature in prawn cultures based on a mechanism model optimized by an improved artificial bee colony. Computers and Electronics in Agriculture. 2017;140:397-408. 22.Wang C, Zeng L, Li Z, Li D. Review of optical fibre probes for enhanced Raman sensing. Journal of Raman Spectroscopy. 2017;48(8):1040-1055. 23.Qiao X, Rauschenbach T, Li D. Review of Underwater Machine Vision Technology and Its Applications. Marine Technology Society Journal. 2017;51(1):75-97. 24.Qiao X, Bao J, Zeng L, Zou J, Li D. An automatic active contour method for sea cucumber segmentation in natural underwater environments. Computers and Electronics in Agriculture. 2017;135:134-142. 25.Zhao X, Li D, Yang B, Liu S, Pan Z, Chen H. An Efficient and Effective Automatic Recognition System for Online Recognition of Foreign Fibers in Cotton. Ieee Access. 2016;4:8465-8475. 26.Zeng L-H, Wang C, Wang T, Li D-L. The correction fluorescence inner filter effect using a single excitation and dual-emission fiber optic probe. Analyst. 2016;141(18):5339-5345. 27.Zeng L, He M, Yu H, Li D. An H2S Sensor Based on Electrochemistry for Chicken Coops. Sensors. 2016;16(12):1398. 28.Yu H, Chen Y, Hassan SG, Li D. Prediction of the temperature in a Chinese solar greenhouse based on LSSVM optimized by improved PSO. Computers and Electronics in Agriculture. 2016;122:94-102. 29.Yu H, Chen Y, Hassan S, Li D. Dissolved oxygen content prediction in crab culture using a hybrid intelligent method. Scientific Reports. 2016;6(1):27292. 30.Wang Y, Kuckelkorn JM, Zhao F-Y, Mu M, Li D. Evaluation on energy performance in a low-energy building using new energy conservation index based on monitoring measurement system with sensor network. Energy and Buildings. 2016;123:79-91. 31.Wang W, Li Z, Yue J, Li D. Image segmentation incorporating double-mask via graph cuts. Computers & Electrical Engineering. 2016;54:246-254. 32.Sun M, Hassan SG, Li D. Models for estimating feed intake in aquaculture: A review. Computers and Electronics in Agriculture. 2016;127:425-438. 33.Liu S, Xu L, Li D. Multi-scale prediction of water temperature using empirical mode decomposition with back-propagation neural networks. Computers & Electrical Engineering. 2016;49:1-8. 34.Chen Y, Xu J, Yu H, Zhen Z, Li D. Three-Dimensional Short-Term Prediction Model of Dissolved Oxygen Content Based on PSO-BPANN Algorithm Coupled with Kriging Interpolation. Mathematical Problems in Engineering. 2016;2016:1-10. 35.Zhao Y, Zhao D, Li D. Electrochemical and Other Methods for Detection and Determination of Dissolved Nitrite: A Review. International Journal of Electrochemical Science. 2015;10(2):1144-1168. 36.Zhao X, Li D, Yang B, Chen H, Yang X, Yu C, Liu S. A two-stage feature selection method with its application. Computers & Electrical Engineering. 2015;47:114-125. 37.Zeng L, Li D. Development ofIn SituSensors for Chlorophyll Concentration Measurement. Journal of Sensors. 2015;2015:1-16. 38.Li Z, Wang J, Li D. Applications of Raman spectroscopy in detection of water quality. Applied Spectroscopy Reviews. 2015;51(4):333-357. 39.Li F, Wei Y, Chen Y, Li D, Zhang X. An Intelligent Optical Dissolved Oxygen Measurement Method Based on a Fluorescent Quenching Mechanism. Sensors. 2015;15(12):30913-30926. 40.Duan Y, Stien LH, Thorsen A, Karlsen Ø, Sandlund N, Li D, Fu Z, Meier S. An automatic counting system for transparent pelagic fish eggs based on computer vision. Aquacultural Engineering. 2015;67:8-13. 41.Zhao X, Li D, Yang B, Ma C, Zhu Y, Chen H. Feature selection based on improved ant colony optimization for online detection of foreign fiber in cotton. Applied Soft Computing. 2014;24:585-596. 42.Zhang H, Li D. Applications of computer vision techniques to cotton foreign matter inspection: A review. Computers and Electronics in Agriculture. 2014;109:59-70. 43.Liu S, Xu L, Jiang Y, Li D, Chen Y, Li Z. A hybrid WA–CPSO-LSSVR model for dissolved oxygen content prediction in crab culture. Engineering Applications of Artificial Intelligence. 2014;29:114-124. 44.Jiang Y, Li Z, Fang J, Yue J, Li D. Automatic video tracking of Chinese mitten crabs based on the particle filter algorithm using a biologically constrained probe and resampling. Computers and Electronics in Agriculture. 2014;106:111-119. 45.Zhang L, Liu X, Li D, Fu Z. Evaluation of the rural informatization level in four Chinese regions: A methodology based on catastrophe theory. Mathematical and Computer Modelling. 2013;58(3-4):868-876. 46.Zhang L, Li Y, Li D, Li X, Fu Z. Call-Center-Oriented Method of Chinese Words Automatic Segmentation for Cotton Knowledge. Sensor Letters. 2013;11(6):1251-1255. 47.Yue J, Liu L, Li Z, Li D, Fu Z. Improved quality analytical models for aquatic products at the transportation in the cold chain. Mathematical and Computer Modelling. 2013;58(3-4):474-479. 48.Yao H, Duan Q, Li D, Wang J. An improved K-means clustering algorithm for fish image segmentation. Mathematical and Computer Modelling. 2013;58(3-4):790-798. 49.ang W, Wang S, Lu S, Yang J, Li D. Stripe Noise Removal from Line Scan Images of Foreign Fibers. Sensor Letters. 2013;11(6):1240-1244. 50.Yang W, Li D, Wang S, Lu S, Yang J. Saliency-based color image segmentation in foreign fiber detection. Mathematical and Computer Modelling. 2013;58(3-4):852-858. 51.Wang J, He J, Han Y, Ouyang C, Li D. An Adaptive Thresholding algorithm of field leaf image. Computers and Electronics in Agriculture. 2013;96:23-39. 52.Tai H, Ding Q, Zeng L, Liu S, Li D. An Intelligent Ammonia Sensor Based on Multi-Parameter for Aquaculture. Sensor Letters. 2013;11(6):1022-1029. 53.Sun Y, Li D, Du S, Wei Y, Ma D, Ding Q. WSN-Based Intelligent Detection and Control of Dissolved Oxygen in Crab Culture. Sensor Letters. 2013;11(6):1050-1054. 54.Sun L, Sun B, Li D, Li Z, Zheng L. Cotton Comprehensive Equilibrium Transport Model and the Algorithm Analysis. Sensor Letters. 2013;11(6):1347-1352. 55.Ma D, Li D, Ding Q, Wang C. A Combined Sensor for Simultaneous Measurements of Soil Moisture and Electrical Conductivity. Sensor Letters. 2013;11(6):1195-1198. 56.Liu S, Xu L, Li D, Li Q, Jiang Y, Tai H, Zeng L. Prediction of dissolved oxygen content in river crab culture based on least squares support vector regression optimized by improved particle swarm optimization. Computers and Electronics in Agriculture. 2013;95:82-91. 57.Liu S, Xu L, Li D. Prediction of Aquaculture Water Quality Based on Combining Principal Component Analysis and Least Square Support Vector Regression. Sensor Letters. 2013;11(6):1305-1309. 58.Liu S, Tai H, Ding Q, Li D, Xu L, Wei Y. A hybrid approach of support vector regression with genetic algorithm optimization for aquaculture water quality prediction. Mathematical and Computer Modelling. 2013;58(3-4):458-465. 59.Li D, Kang L, Cheng X, Li D, Ji L, Wang K, Chen Y. An ontology-based knowledge representation and implement method for crop cultivation standard. Mathematical and Computer Modelling. 2013;58(3-4):466-473. 60.Jiang Y, Fang J, Li Z, Yue J, Wang Z, Li D. Automatic tracking of swimming koi using a particle filter with a center-surrounding cue. Mathematical and Computer Modelling. 2013;58(3-4):859-867. 61.Ji R, Li D, Gao W, Li X. The Spectral Reflection Analysis of Several Typical Foreign Fibers in Different Thick Cotton Layers. Sensor Letters. 2013;11(6):1106-1109. 62.Hu J, Li D, Duan Q, Chen G, Han Y. Texture Extraction and Analysis by Statistical Methods for Fish Species Classification. Sensor Letters. 2013;11(6):1110-1114. 63.Gao G, Zhao H, Li D, Hu B, Wang G. A New Approach for Evaluating Cotton Flow Velocity in Rectangular Pipeline. Sensor Letters. 2013;11(6):1074-1080. 64.Fang J, Jiang Y, Yue J, Wang Z, Li D, Li Z. A hybrid approach for efficient detection of plastic mulching films in cotton. Mathematical and Computer Modelling. 2013;58(3-4):834-841. 65.Ding Q, Ma D, Li D, Wei Y, Wen N. A Wireless Control Node for Dissolved Oxygen in Aquaculture. Sensor Letters. 2013;11(6):1069-1073. 66.Zhang L, Duan Q, Li D. A Methodology for Diagnostic Reasoning of Herring's Disease Based on Ontology Construction. Sensor Letters. 2012;10(1):245-251. 67.Yue J, Li Z, Liu L, Li D, Fu Z. An Improved Ant Colony Algorithm for Agricultural Knowledge Storage Scheduling Under Grid Environment. Sensor Letters. 2012;10(1):562-569. 68.Tai H, Liu S, Li D, Ding Q, Ma D. A Multi-Environmental Factor Monitoring System for Aquiculture Based on Wireless Sensor Networks. Sensor Letters. 2012;10(1):265-270. 69.Tai H, Li D, Wang C, Ding Q, Wang C, Liu S. Design and characterization of a smart turbidity transducer for distributed measurement system. Sensors and Actuators A: Physical. 2012;175:1-8. 70.Ma D, Ding Q, Li Z, Li D, Wei Y. Prototype of an Aquacultural Information System Based on Internet of Things E-Nose. Intelligent Automation and Soft Computing. 2012;18(5):569-579. 71.Li Z, Yue J, Zhang L, Li D, Fu Z. Design and Implementation of Real-Time Monitoring and Intelligent Management System for Intensive Aquaculture. Sensor Letters. 2012;10(1):309-316. 72.Li Z, Yue J, Li H, Li D, Fu Z. Individual Identification from 3D Captured Movement Data. Sensor Letters. 2012;10(1):335-340. 73.Li Z, Yue J, Hu L, Li D, Fu Z. Weighted Least Square Fitting Based Abnormal Aquaculture Water Quality Perception Data Elimination. Sensor Letters. 2012;10(1):529-534. 74.Li Z, Jiang Y, Yue J, Zhang L, Li D. AN IMPROVED GRAY MODEL FOR AQUACULTURE WATER QUALITY PREDICTION. Intelligent Automation and Soft Computing. 2012;18(5):557-567. 75.Li L, Chen Y, Gao H, Li D. A HYBRID REGISTRATION APPROACH OF REMOTE SENSING IMAGES FOR LAND CONSOLIDATION. Intelligent Automation and Soft Computing. 2012;18(8):1121-1132. 76.Li L, Chen Y, Gao H, Li D. Automatic Recognition of Village in Remote Sensing Images by Support Vector Machine Using Co-Occurrence Matrices. Sensor Letters. 2012;10(1):523-528. 77.Hu J, Li D, Duan Q, Han Y, Chen G, Si X. Fish species classification by color, texture and multi-class support vector machine using computer vision. Computers and Electronics in Agriculture. 2012;88:133-140. 78.Hu J, Li D, Duan Q, Han Y, Chen G. A Fuzzy C-Means Clustering Based Algorithm to Automatically Segment Fish Disease Visual Symptoms. Sensor Letters. 2012;10(1):190-197. 79.Hu J, Li D, Chen G, Duan Q, Han Y. IMAGE SEGMENTATION METHOD FOR CROP NUTRIENT DEFICIENCY BASED ON FUZZY C-MEANS CLUSTERING ALGORITHM. Intelligent Automation and Soft Computing. 2012;18(8):1145-1155. 80.Chen Y, Wu X, Li D, Liang Y, Li D. APPLICATION OF GPS & GPRS TECHNOLOGY TO FIELD DATA ACQUISITION IN COAL MINE DUMP AREA. Intelligent Automation and Soft Computing. 2012;18(8):1133-1143. 81.Chen Y, Wang Y, Li D, Wu X. A Monitoring System Based on Environment Indicator Technology for Land Rehabilitation in Coal Mine Dump Areas. Intelligent Automation and Soft Computing. 2012;18(5):547-556. 82.Chen G, Hu J, Li D, Si X. Image Recognition of Maize Diseases Based on Fuzzy Clustering and Support Vector Machine Algorithm. Sensor Letters. 2012;10(1):433-438. 83.Zhu X, Li D, Rodriguez LF. An agent-based simulation model of a nutrient trading market for natural resources management. Mathematical and Computer Modelling. 2011;54(3-4):987-994. 84.Zhao X, Li D, Yang W, Chen G. Feature Selection Based on Ant Colony Optimization for Cotton Foreign Fiber. Sensor Letters. 2011;9(3):1242-1248. 85.Zhang X, Li D, Yang W, Wang J, Liu S. An Improved Morphological Edge Detection Method for Color Images of Cotton Foreign Fibers. Sensor Letters. 2011;9(3):1020-1023. 86.Zhang X, Li D, Yang W, Wang J, Liu S. A fast segmentation method for high-resolution color images of foreign fibers in cotton. Computers and Electronics in Agriculture. 2011;78(1):71-79. 87.Yang W, Lu S, Wang S, Li D. Fast recognition of foreign fibers in cotton lint using machine vision. Mathematical and Computer Modelling. 2011;54(3-4):877-882. 88.Yang W, Li D, Zhu L. An improved genetic algorithm for optimal feature subset selection from multi-character feature set. Expert Systems with Applications. 2011;38(3):2733-2740. 89.Yan M, Li D, Wei Y, Tai H, Ding Q. Short-Term Predicting Model for Dissolved Oxygen of Hyriopsis Cumingii Ponds Based on Elman Neural Network. Sensor Letters. 2011;9(3):1014-1019. 90.Wei Y, Li D, Tai H, Wang J, Ding Q. Prediction of Dissolved Oxygen Content in Aquaculture of Sea Cucumber Using Support Vector Regression. Sensor Letters. 2011;9(3):1075-1082. 91.Wei Y, Ding Q, Li D, Tai H, Wang J. Design of an Intelligent Electrical Conductivity Sensor for Aquaculture. Sensor Letters. 2011;9(3):1044-1048. 92.Tai H, Li D, Wei Y, Ma D, Ding Q. An Intelligent Turbidimeter for Monitoring Suspended Sediment. Sensor Letters. 2011;9(3):1083-1087. 93.Sun Y, Cai C, Lin J, Cheng Q, Meng F, Li D. A case study of EM38 for characterizing topsoil thickness in a reclaimed field. Journal of the Chinese Institute of Engineers. 2011;34(6):843-847. 94.Sun H, Li M, Li D. The vegetation classification in coal mine overburden dump using canopy spectral reflectance. Computers and Electronics in Agriculture. 2011;75(1):176-180. 95.Ding Q, Tai H, Ma D, Li D, Zhao L. Development of a Smart Dissolved Oxygen Sensor Based on IEEE1451.2. Sensor Letters. 2011;9(3):1049-1054. 96.Cui J, Wang J, Wang Q, Li D. Study on Traceability Coding of Wheat Quality and Distributed Object Name Service. Sensor Letters. 2011;9(3):1088-1093. 97.Chen Y, Li D, Li D, Wu X, Zheng Y. Assessment for soil improvement benefit of land rehabilitation in dump areas. Mathematical and Computer Modelling. 2011;54(3-4):1204-1212. 98.Chen J, Li D, Du S, Wei Y, Tai H. A Wireless Sensor Network Based Water Temperature Stratification Monitoring System for Aquaculture of Sea Cucumber. Sensor Letters. 2011;9(3):1094-1100. 99.Zou X, Su W, Chen Y, Li L, Li D. Estimation of Fractional Vegetation Cover in Opencast Coal Mine Dump Area Using Landsat TM Data. Sensor Letters. 2010;8(1):81-88. 100.Zhu X, Li D, He D, Wang J, Ma D, Li F. A remote wireless system for water quality online monitoring in intensive fish culture. Computers and Electronics in Agriculture. 2010;71:S3-S9. 101.Zhao L, Li D, Ma D, Ding Q. An Portable Intelligent Measurement Instrument for Dissolved Oxygen in Aquaculture. Sensor Letters. 2010;8(1):102-108. 102.Zhang L, Wen H, Li D, Fu Z, Cui S. E-learning adoption intention and its key influence factors based on innovation adoption theory. Mathematical and Computer Modelling. 2010;51(11-12):1428-1432. 103.Zhang L, Li D, Liu X, Fu Z. Multi-criteria decision support for China agricultural domestic support based on CGE model. Mathematical and Computer Modelling. 2010;51(11-12):1326-1331. 104.Wang X, Chen Y, Li D, Jiang Y. A Gis-Based Decision Support System for Plant Species Selection in Dump Area Revegetation. Intelligent Automation and Soft Computing. 2010;16(6):1013-1021. 105.Su W, Sun Z-P, Li D-L, Ramsankaran R, Zhu X, Guo X-Y. Vegetation recovery monitoring over the waste dump in Haizhou opencast coalmine area, China, during 1975–2000 using NDVI and VF index. Journal of the Indian Society of Remote Sensing. 2010;37(4):631-645. 106.Ma D, Ding Q, Li D, Zhao L. Wireless Sensor Network for Continuous Monitoring Water Quality in Aquaculture Farm. Sensor Letters. 2010;8(1):109-113. 107.Li F, Li D, Wei Y, Ma D, Ding Q. Dissolved Oxygen Prediction in Apostichopus Japonicus Aquaculture Ponds by BP Neural Network and AR Model. Sensor Letters. 2010;8(1):95-101. 108.Li D, Yang W, Wang S. Classification of foreign fibers in cotton lint using machine vision and multi-class support vector machine. Computers and Electronics in Agriculture. 2010;74(2):274-279. 109.Komnitsas K, Guo X, Li D. Mapping of soil nutrients in an abandoned Chinese coal mine and waste disposal site. Minerals Engineering. 2010;23(8):627-635. 110.Ji R, Li D, Chen L, Yang W. Classification and identification of foreign fibers in cotton on the basis of a support vector machine. Mathematical and Computer Modelling. 2010;51(11-12):1433-1437. 111.Guo X, Komnitsas K, Li D. Correlation Between Herbaceous Species and Environmental Variables at the Abandoned Haizhou Coal Mining Site. Environmental Forensics. 2010;11(1-2):146-153. 112.Gao G, Li D, Shang S. New Method of Cotton Flow Speed Detection Based on Area CCD. Sensor Letters. 2010;8(1):32-39. 113.Feng WZ, Zhang J, Li DL. A conceptual development of a hypermedia‐enabled agricultural expert system. New Zealand Journal of Agricultural Research. 2010;50(5):1315-1322. 114.Feng W, Li D, Duan Y, Fu Z. A Survey of Stickiness of Agriculture Knowledge Acquisition in China. Sensor Letters. 2010;8(1):198-202. 115.Duan Y, He Q, Feng W, Li D, Fu Z. A study on e-learning take-up intention from an innovation adoption perspective: A case in China. Computers & Education. 2010;55(1):237-246. 116.Ding Q, Ma D, Li D, Zhao L. Design and Implementation of a Sensors Node Oriented Water Quality Monitoring in Aquaculture. Sensor Letters. 2010;8(1):70-74. 117.Yang W, Li D, Zhu L, Kang Y, Li F. A new approach for image processing in foreign fiber detection. Computers and Electronics in Agriculture. 2009;68(1):68-77. 118.Zhang L, Li D, Mu W, Yue J, Fu Z. Analysing levels of China's agricultural domestic support with an optimising model. New Zealand Journal of Agricultural Research. 2007;50(5):647-654. 119.Yue J, Li D, Zhang L, Gong W, Fu Z. A WordNet-driven approach to vegetable supply chain domain concepts acquisition. New Zealand Journal of Agricultural Research. 2007;50(5):869-877. 120.Han Y, Li M, Li D. Vegetation index analysis of multi-source remote sensing data in coal mine wasteland. New Zealand Journal of Agricultural Research. 2007;50(5):1243-1248. 121.Gong W, Li D, Liu X, Yue J, Fu Z. Improved two-grade delayed particle swarm optimisation (TGDPSO) for inventory facility location for perishable food distribution centres in Beijing. New Zealand Journal of Agricultural Research. 2007;50(5):771-779. 122.Gao W, Fu Z, Li D, You L, Zhang J, Zhang X. AgriInfo: an agricultural information system based on a call centre in China. New Zealand Journal of Agricultural Research. 2007;50(5):797-806. 123.Fu Z, Yue J, Li D, Zhang X, Zhang L, Gao Y. Evaluation of learner adoption intention of e-learning in China: a methodology based on perceived innovative attributes. New Zealand Journal of Agricultural Research. 2007;50(5):609-615. 124.Dou J, Chen Y, Jiang Y, Wang Y, Li D, Zhang F. A web-GIS based support system for rural land consolidation in China. New Zealand Journal of Agricultural Research. 2007;50(5):1195-1203. 125.Chen Y, Jiang Y, Wang H, Li D. Assessment of ambient air quality in coal mine waste areas - a case study in Fuxin, China. New Zealand Journal of Agricultural Research. 2007;50(5):1187-1194. 126.Chen Y, Jiang Y, Li D. A decision support system for evaluation of the ecological benefits of rehabilitation of coal mine waste areas. New Zealand Journal of Agricultural Research. 2007;50(5):1205-1211. 127.Duan Y, Fu Z, Li D. Toward developing and using Web-based tele-diagnosis in aquaculture. Expert Systems with Applications. 2003;25(2):247-254. Li D, Fu Z, Duan Y. Fish-Expert a web-based expert system for fish disease diagnosis. Expert Systems with Applications. 2002;23:10.Achievements
The software works
Patent
1. Li daoliang; Zeng lihua; Ren zhenhui; Hu jianing;Feng ji; Xin zhongwei;Zhang mengjiao; Li jianping; Li dongming; A sea cucumber fishing device; Certificate No. ZL 2017108185832 , Authorized Date: 2020.01.31 2. Li daoliang; Wang liang; Ding ying; Wei yaoguang; a water and fertilizer processing system and method for aquaponics; Certificate No. ZL 2017103014476 , Authorized Date: 2019.12.17 3. Li daoliang; Qiao xi; Bao jianhua; Wang cong; Wei yaoguang; Automatic segmentation method and device of underwater sea cucumber image; Certificate No. ZL 2016103932914 , Authorized Date: 2019.01.22 4. Li daoliang; Bao jianhua;Qiao xi; Wei yaoguang;Wang cong; Autonomous sea cucumber fishing robot system and method; Certificate No. ZL 201610542255X , Authorized Date: 2018.10.30 5. Li daoliang; Yang hao; Peng fa; Duan zuodong; Yu huihui; Wang liang; Wen zhu; Method and system for fault diagnosis of aquaculture IoT equipment cluster; Certificate No. ZL 2015106091598, Authorized Date: 2018.03.06 6. Li daoliang; Wang cong; Wei yaoguang; Chen yingyi; Liu chunhong; Li fengmei; Zhang xu; A measuring device and method for the detection of dissolved oxygen; Certificate No. ZL 201510665561.8, Authorized Date: 2017, 12,25 7. Li daoliang ;Liu shuangyin; Xu longqin; Zhang hang; Li zhenbo; Chen yingyi; Wei yaoguang; Short-term forecasting method for aquaculture dissolved oxygen based on multi-scale analysis, Certificate No. ZL 201410049122.X, Authorized Date: 2017, 8,25 8. Li Daoliang; Wei Yaoguang; Kan Daohong; Wen Zhu; Wang Liang; Yu Huihui; Yang Hao, Aquaponics system with Edible Fungi in Greenhouse, Invention patent, Certificate No. ZL201410433340.3, Authorized Date: 2016, 5 9. Li Daoliang; Ding Qisheng ; Wang Cong; Chen Xinyu; Wei Yaoguang; Liu Chunhong , Oxygen control device, Invention patent, Certificate No. ZL201310223777.X, Authorized Date: 2015, 8 10. Li Daoliang; Zeng Lihua ; Wei Yaoguang; Wang Cong; Chen Yingyi, On-line detection of chlorophyll concentration in water bodies based on double detector, Invention patent, Certificate No. ZL201210364088.6, Authorized Date: 2015, 4 11. Li Daoliang; Li Qiucheng; Li Zhenbo; Ma Daokun; Ding Qisheng; Wang Zhenzhi; Wei Xiaohua, Fault Diagnosis Method of Wireless Sensor Network, Invention patent, Certificate No. ZL201110342475.5, Authorized Date: 2014, 11 12. Li Daoliang; Ji Ronghua; Yang Wenzhu, A Cotton Quality Inspection Method, Invention patent, Certificate No. ZL201110117211.X, Authorized Date: 2014,8 13. Li Daoliang ; Jiang Yu; Li Zhenbo ; Yue Jun; Duan Yane, Single-objective behavior analysis method of crab, Invention patent, Certificate No. ZL201210161163.9, Authorized Date: 2014,3 14. Li Daoliang; Liu Shuangyin; Chen Yingyi ; Wei Yaoguang ;Tai Haijiang;Xu Longqin , On-line prediction method and system of dissolved oxygen concentration in aquaculture, Invention patent, Certificate No. ZL201110047876.8, Authorized Date: 2013,11 15. Li Daoliang; Jiang Yu; Li Zhenbo; Yue Jun; Duan Yane, Aquatic behavior monitoring device based on 3D vision and wireless sensing technology, Invention patent, Certificate No. ZL201210122102.1, Authorized Date: 2013,11 16. Li Daoliang; Liu Shuangyin; Chen Yingyi; Wei Yaoguang; Tai Haijiang; Xu Longqin, Concentration of dissolved oxygen in aquaculture online prediction method and system, Invention patent, Certificate No. ZL201110047876.8, Authorized Date: 2013,11 17. Li Daoliang; Li Hengbin; Yang Wenzhu; Li Zhenbo; Wang Jinxing; Liu Shuangxi; Wang Xin, Cotton foreign fiber feature selection method based on Particle swarm optimization algorithm, Invention patent, Certificate No. ZL201210006210.2, Authorized Date: 2013,10 18. Li Daoliang; Wu Yutao; Yang Wenzhu; Li Zhenbo, A kind of cotton foreign fiber image online segmentation method and system, Invention patent, Certificate No. ZL201210049200.7, Authorized Date: 2013,10 19. Li Daoliang, A detection method and system for cotton foreign fiber, Invention patent, Certificate No. ZL201010530939.0, Authorized Date: 2013,04 20. Li Daoliang; Tai Haijiang; Liu Shuangyin; Ding Qishen; Ma Daokun, Optical Dissolved Oxygen Sensor, Invention patent, Certificate No. ZL201110152662.7, Authorized Date: 2013,03 21. Li Daoliang; Ding Qisheng; Ma Daokun, Ammoniacal nitrogen Intelligent transmission systems and in situ high-frequency detection method, Invention patent, Certificate No.ZL201010112136.3, Authorized Date: 2013,01 22. Li Daoliang; Yang Wenzhu; Wei Xinhua; Kang Yuguo; Li Futang; Wang Jinxing, Cotton foreign fiber online classify method and system, Invention patent, Certificate No.ZL200910244070.0, Authorized Date:2013,01 23. Li Daoliang; Li Feifei; Ma Daokun; Ding Qisheng; Zhao Linlin, One kind of aquaculture water quality wireless monitoring system and method, Invention patent, Certificate No. ZL201010133552.1, Authorized Date: 2012,12 24. Li Daoliang; Tai Haijiang; Ma Daokun; Ding Qisheng; Zhao Linlin, Turbidity sensor, Invention patent, Certificate No. ZL201010504653.5, Authorized Date: 2012,11 25. Li Daoliang; Zhao Linlin; Ma Daokun; Ding Qisheng, Aquaculture detector and detection method, Certificate No. ZL201010146937.1, Authorized Date: 2012,9 26. Li Daoliang; Zhao Xuehua; Yang Wenzhu; Chen Guifen; Zhang Xin, Image features optimal selection method and system based on improved ant colony algorithm, Invention patent, Certificate No. ZL201010176931.9, Authorized Date: 2012,07 27. Li Daoliang; Ding Qisheng; Ma Daokun; Wang Jianqin; Zhao Linlin, Dissolved oxygen intelligent transmitter, Invention patent, Certificate No. ZL200910082413.8, Authorized Date: 2012,05 28. Li Daoliang; Hu Jing; Duan Qingling; Chen Guifen; Si Xiuli; Zhang Xin, Diseased fish-body image process method and system, Invention patent, Certificate No. ZL201110041573.5, Authorized Date:2012,11 29. Li daoliang; Zhu guangming; Chen yingyi; Matching method for linear ground features of land consolidation based on mobile computing; Certificate No. ZL201010120312.8, Authorized Date: 2012.6.20 30. Li daoliang; Su wei;Zou xiaochen; Chen yingyi; Li li; Method and system for estimating vegetation coverage in mining area based on close-range photography; Certificate No. ZL201010137835.3, Authorized Date: 2011.12.28 31. Li Daoliang; Yang Wenzhu; Kang Yuguo, A kind of cotton foreign fiber image process system and method, Invention patent, Certificate No. ZL200810116172.X, Authorized Date: 2011,6 32. Li Daoliang; Gao Gaili; Liu Jun, Excluding foreign fibers of cotton separate roll, Invention patent, Certificate No. ZL201010220482.3, Authorized Date: 2011,10 33. Li Daoliang; Yang Wenzhu; Wei Xinhua; Kang Yuguo; Li Futang; Wang Jinxing, Cotton foreign fiber target image feature selection method and system, Invention patent, Certificate No. ZL200910087392.9, Authorized Date: 2011,08 34. Li Daoliang; Yang Wenzhu; Wei Xinhua; Kang Yuguo; Li Futang, Foreign fibers fuzzy classification system and method based on the automatic visual inspection, Invention patent, Certificate No. ZL200910077404.X, Authorized Date: 2010,04HonorEnrollment |