To facilitate the in-depth applications of remote sensing technology in intelligent plant protection, disaster monitoring and forecasting, ecological security, etc. The cross-disciplinary integration and technology innovations of monitoring, early warning, prevention and control of vegetation pests and diseases will be fully investigated. It is to promote the theoretical innovations and industrial applications of remote sensing of vegetation pests and diseases, and to build an ecological civilization, pursue the harmonious coexistence of man and nature and build a community of all life on Earth. The 3rd Conference on Remote Sensing of Vegetation Pests and Diseases 2022, will be jointly organized by the Aerospace Information Research Institute, Chinese Academy of Sciences, Anhui University, Manchester Metropolitan University, China Biodiversity Conservation and Green Development Foundation, Chinese Society of Agricultural Engineering, Hangzhou Dianzi University, National Engineering Research Center for Agro-Ecological Big Data Analysis & Application, etc.

The conference will host scientists from various fields such as remote sensing, plant protection, ecology, environment, meteorology, artificial intelligence, ethics of science and technology, etc. It focuses on the biodiversity protection, green prevention and control of pests and diseases, ecological security assessment of agriculture, forestry, prataculture, etc. The latest scientific achievements and future development trend of theories, models, methods, systems and applications will be deeply explored concerning the remote sensing based key applications of monitoring, early warning, prevention and control of vegetation pests and diseases.

“Protecting Plants and Safeguarding Security” is the conference theme. One of the key objectives of the conference is to facilitate cross-disciplinary and industry-academia-research-application integration, and to promote the theoretical research, methodology innovation, technology extension and application demonstration of remote sensing in the field of vegetation pests and diseases. The domestic and international experts and scholars involved in the remote sensing-based studies on vegetation pests and diseases and will be invited to present the academic reports during the conference.

Meeting Time

27-28 August 2022

Live Stream

Publication

The conference will organize a special issue of Monitoring, Early Warning, and Scientific Management of Vegetation Pests and Diseases in Remote Sensing (https://www.mdpi.com/journal/remotesensing/special_issues/early_warning). Remote Sensing has an Impact Factor of 5.349 (2021) and locates in JCR - Q1 (Geosciences, Multidisciplinary) and Q2 of the Division of Chinese Academy of Sciences.

Schedule

[Statement of Green Meeting]: In order to practice the concept of sustainable development, the meeting adopted the standard of 'Green Meeting Index' to minimize the use of paper printing materials, online hosting, and one-time bottled water in the organization process, so as to reduce resource consumption and reduce carbon footprint.

Conference Organizers and Sponsors

• Aerospace Information Research Institute, Chinese Academy of Sciences

• Anhui University

• Manchester Metropolitan University

• China Biodiversity Conservation and Green Development Foundation

• Chinese Society of Agricultural Engineering

• International Research Center of Big Data for Sustainable Development Goals

• Hangzhou Dianzi University

• National Engineering Research Center for Agro-Ecological Big Data Analysis & Application

• Alliance of International Science Organizations in the Belt and Road Region, ANSO

• Biological Disaster Prevention and Control Center of National Forestry and Grassland Administration

• National Agro-Tech Extension Service Center

• Ningbo University

• South China Agricultural University

• National Engineering Research Center for Information Technology in Agriculture

• Institute of Zoology, Chinese Academy of Sciences

• Institute of Grassland Research of CAAS

• Institute of Plant Protection (IPP), Chinese Academy of Agricultural Sciences (CAAS)

• Chinese Academy of Forestry

• Institute of Agricultural Resources and Regional Planning, CAAS

• Shandong University of Technology

• Shandong University of Science and Technology

• Shandong Academy of Agricultural Sciences

• Henan Academy of Agricultural Sciences

• Anhui Academy of Agricultural Sciences

• Zhejiang University

• Beijing Forestry University

• China Agricultural University

• Northwest A&F University

• Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences

• State Key Laboratory of Remote Sensing Science

• Centre for Agriculture and Biosciences International, CABI

• Institute of Plant Protection and Microbiology, Zhejiang Academy of Agricultural Sciences
  

• Nanjing Agricultural University

• Hangzhou Normal University

• Lanzhou University

• Xidian University

• Xi’an University of Science and Technology

• Henan Agricultural University

• Huazhong Agricultural University

• Guangzhou University of Chinese Medicine

• Changsha University of Science & Technology

• Yunnan Institute of Tropical Crops

• China Aero Geophysical Survey and Remote Sensing Center for Natural Resources

• Key Laboratory of National Forestry and Grassland Administration on Forest Pest Monitoring and Warning

• Agricultural and Rural Geographic Information Working Committee of China Association for Geographic Information Society

• Ministry of Agriculture and Rural Affairs (MARA) - CABI Joint Laboratory for Bio-safety

• National Innovation Alliance for Grassland Biological Disaster Prevention and Control

• National Aviation Plant Protection Science and Technology Innovation Alliance

• Key Laboratory of Aviation Plant Protection, Ministry of Agriculture and Rural Affairs

• Remote Sensing

• International Journal of Agricultural and Biological Engineering

• National Remote Sensing Bulletin

• Transactions of the Chinese Society of Agricultural Engineering

• NBL Imaging System Ltd

Contact

Aerospace Information Research Institute, Chinese Academy of Sciences

Telephone: 010-82178178

E-mail: rscrop@aircas.ac.cn

Anhui University

Telephones: 0551-62950501, 15656967026

E-mail: ae@ahu.edu.cn