Title: Smart Agriculture and Smart Forestry
Hongqian Zhu, Central South University of Forestry and Technology, China.
Hongqian Zhu has long been engaged in scientific research and teaching of intelligent robot, machine vision, hydraulic servo and other aspects. He is the chief editor of the National 13th Five-Year Plan Textbook: Industrial Robot Technology (China Machine Press, July 2019). Team’s project "Pick orange robot target recognition" won first prize of national forestry robot design competition in 2019, team’s project "Forest security informatization construction based on intelligent vision" won first prize of national agriculture and forestry enterprise management optimization modeling competition in 2021.
Xiuliang Jin, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, China.
Dr. Xiuliang Jin is a professor and doctoral tutor and a head of crop phenotypic innovation research group. He mainly engages in crop phenotyping identification and precision agriculture. The main research interests are: (1) the application of quantitative remote sensing in agricultural monitoring; (2) the application and combination of optical sensors; (3) the development and application of crop phenotyping platforms; (4) crop models and multi-source remote sensing data assimilation; (5) multi-source image data processing; and (6) association analysis between phenome and genome and key functional gene mining. Since 2011, as the first author or corresponding author, he has published 39 SCI indexed papers, and the coauthored papers were more than 50. The articles are mainly published in IEEE Geoscience and Remote Sensing Magazine、Earth System Science Data、Remote Sensing of Environment, ISPRS Journal of Photogrammetry and Remote Sensing, Agricultural and Forest Meteorology, European Journal of Agronomy, Field Crops Research, and Agricultural Water Management, etc. In current, he is an associate editor of The Crop journal、The Journal of Agricultural Science and Agronomy Journal, an editorial board of Scientific Reports and Crop Magazine, and a guest editor of Remote Sensing-Special Issue "Estimation of Crop Phenotyping Traits using Unmanned Ground Vehicle and Unmanned Aerial Vehicle Imagery. In addition, he is a member of the first Agricultural Modeling and Simulation Professional Committee of the Chinese Society of Simulation and committee member of the IEEE International Conference on Application of Computational Intelligence in Remote Sensing in 2019.
Bin Liu, Northwest A&F University, China
Bin Liu serves as an associate professor at college of Information Engineering of Northwest A&F University in China. He received a Ph.D. degree in computer science and technology at Xi’an Jiaotong University in China, in 2014. He worked as a member at Key Laboratory of Agricultural Internet of Things of Ministry of Agriculture and Rural Affairs and Shaanxi Key Laboratory of Agricultural Information Perception and Intelligent Service. His research interests include computer Vision, intelligent agriculture, deep learning and agricultural pest monitoring and early warning. He participated in projects supported by Natural Science Foundation, National Key Projects, National Key Research and Development Project, Natural Science Foundation of Shaanxi Province. Based on these projects, he published many academic papers. Moreover, he serves as a reviewer for Computers and Electronics in Agriculture, Frontiers in Plant Science, IEEE Trans. On Computers, the Journal of Supercomputing, etc。
Jiaohua Qin, Central South University of Forestry and Technology, China.
Jiaohua Qinreceived a Ph.D. degree in computing science from Hunan University. She was a Visiting Professor with the University of Alabama, USA, from 2016 to 2017. Her research interests include information security, machine vision, machine learning and image processing. She has presided over 20 national or provincial projects with National Natural Science Foundation of China, the Key Research and Development Plan of Hunan Province,the Key projects of Natural Science Foundation of Hunan Province. Based on these projects, she has published more than 100 papers.
Baohua Zhang, Nanjing Agricultural University, China.
Baohua Zhang received the B.S. degree in mechanical and electronic engineering from Northwest A&F University and the Ph.D. degree in mechanical engineering from Shanghai Jiao Tong University. He is currently an Associate Professor with the College of Artificial Intelligence, Nanjing Agricultural University (NJAU). He is the Founder and the Managing Editor of the international journal, Artificial Intelligence in Agriculture (ISSN: 25897217). His research interests include harvesting robots, robot vision, robotic grasping, spectral analysis and modeling, robotic systems and their applications in agriculture, and food and bio-system engineering. He has published more than 40 SCI cited articles and ten EI cited articles in national and international journals.
Hong Sun, China Agricultural University, China.
Hong Sun currently serves as a professor of “Crop Sensing in Smart Agriculture” in College of Information and Electrical Engineering, China Agricultural University. She is the committee member of Internationalfederation of automatic control（IFAC）TC8.1,Member of Chinese Society of Agricultural Engineering (CSAE), and Memberof Chinese Society of Agricultural Machinery(CSAM). Her Main fields of recent research is: Agricultural Engineering, Such as Intelligent Agriculture System Integration, Agricultural Informatization Application, Smart Agriculture, etc. Main research interests are: Electrification and Automation in Agriculture, Advanced Sensors and Process Control, Wireless Sensor Networks, ICT and Artificial Intelligence Applications in Agriculture, Remote Sensing, Application of Spectroscopy in Agriculture, Optimization Techniques and Computational Intelligence, Internet of Things, Edge Computing and Cloud Application, Intelligent Computing, Crop Sensing and Management in the Agriculture 4.0, Education 4.0 for Agriculture 4.0. She has published over 50 research papers in refereed journals, international scientific conferences and book chapters. Moreover, she serves as an associate editor for Field Crop Research and guest associate editor for Computers and Electronics in Agriculture.
Chunshan Wang, Hebei Agricultural University, China.
Chunshan Wang serves as an associate professor at the School of Information Science and Technology of Hebei Agricultural University in China. From 2016 to 2017, he was a visiting professor at the School of Electrical and Computer Science, Washington State University. He worked as a member at the National Engineering Research Center for Information Technology in Agriculture. His main research interests include: computer vision, smart agriculture, and digital villages. In recent years, he has participated in or presided over 10 projects, including the National Key Research and Development Program of China, the National Natural Science Foundation of China, the Hebei Provincial Key Research and Development Program and the Hebei Provincial Natural Science Foundation. Based on the above research, he published more than 40 papers, of which 20 paperswere indexed in SCI/EI. He is currently invited as a reviewer for several journals such as Computers and Electronics in Agriculture, Scientific Reports, and Transactions of the Chinese Society of Agricultural Engineering.
Haixi Zhang, Northwest A&F University, China.
Haixi Zhang serves as a lecture at the college of Information Engineering of Northwest A&F University in China. He received a Ph.D. degree in electronic science and technology at Northwestern Polytechnical University in China, in 2020. His research interests include Computer Vision, Deep Learning and Intelligent Agriculture. He participated in projects supported by NationalNatural Science Foundation, National Key Projects, National Key Research and Development Project, Natural Science Foundation of Shaanxi Province. Based on these projects, he published many academic papers. He has published multiple paper in journals such as Neurocomputing, Computer and Electronics in Agriculture, Journal of Electronic Imaging, etc.
With the progress of big data, artificial intelligence, Internet of things, machine vision and other technologies, agricultural and forestry intelligent equipment has been rapidly developed. This workshop aim to discuss the key technologies of agricultural and forestry intelligent equipment such as intelligent perception, intelligent control, precise operation, autonomous navigation, end-terminal-cloud collaboration. Another goal is to look ahead to the development trend of agricultural and forestry intelligent equipment.
Machine vision is an important way for intelligent agricultural and forestry equipment to perceive the environment. This workshop will discuss the application of machine vision technology in agricultural and forestry scenarios: vehicle and personnel management; prevent illegal logging and poaching; early forest fire monitoring; tree, crop growth monitoring; disease and insect pest monitoring; tree recognition and location of cutting robot; picking robot target recognition and positioning; estimation of forest wood storage and crop yield; estimation of felling area, afforestation area and crop area; population and quantity monitoring of rare animals. The topics in this workshop include but are not limited to the above.
Agroforestry robot; Machine vision; Intelligent perception; Intelligent control; Accurate operation