The 4th Conference on Remote Sensing of Vegetation Pests and Diseases (2023) will be jointly organized by the Aerospace Information Research Institute of the Chinese Academy of Sciences, the Institute of Grassland Research of the Chinese Academy of Agricultural Sciences and the Biological Disaster Prevention and Control Center of the National Forestry and Grassland Administration on August 19-20, 2023, in Hohhot, Inner Mongolia Autonomous Region, China.
The conference focuses on the research progress and development trends of remote sensing and other space information technology in the monitoring, early warning and control of vegetation pests and diseases, including theories, models, methods, systems and applications. It covers various fields such as remote sensing, plant protection, ecology, environment, meteorology, artificial intelligence and ethics of science and technology, and involves pests and diseases monitoring and early warning, green prevention and control, biodiversity conservation and ecological and environmental security assessment in the fields of agriculture, forestry and grass industry.
The conference aims to promote interdisciplinary collaboration and in-depth integration of production, academia, research, and application, advancing the theoretical research, method innovation, technological dissemination, and application demonstration of remote sensing in the field of vegetation pests and diseases. To further promote collaborative exchanges, the conference will invite renowned experts and scholars in the field of remote sensing for vegetation pests and diseases from both domestic and international institutions to engage in academic discussions. We sincerely invite colleagues from around the world to actively participate in the conference!
1.Name
The 4th Conference on Remote Sensing of Vegetation Pests and Diseases (2023)
2.Topics
The conference aims to explore the theories, technological innovations, and industry applications in the field of remote sensing for monitoring, early warning, and control of vegetation pests and diseases. It seeks to promote the deep integration of remote sensing technology in intelligent plant protection, disaster assessment, and ecological security, contributing to the construction of an ecological civilization, the harmonious coexistence of humans and nature, and the building of a global community with a shared future for all life on Earth.
3.Date and Venue
Date: August 19-20, 2023 (Full-day coverage on August 18th)
Venue: Rongshi International Hotel (No.5 South Second Ring Road, Saihan District, Hohhot, Inner Mongolia Autonomous Region)
4.Format
On-site conference
5.Schedule
August 18th: Full-day coverage
August 19th: Opening ceremony, keynote speeches, thematic presentations
August 20th: Thematic presentations, closing ceremony
6.Publications
(1)Special Issue of《Remote sensing》: “Monitoring, Early Warning, and Scientific Management of Vegetation Pests and Diseases” (https://www.mdpi.com/journal/remotesensing/special_issues/early_warning)
(2)Special Issue of《National Remote Sensing Bulletin》: “Remote Sensing of Vegetation Diseases and Pests” (https://mp.weixin.qq.com/s/dxA8um UQauvHYCmgzq_FrA)
(3)Special Issue of 《Journal of Agricultural Big Data》: “Remote Sensing Data and Knowledge for Agricultural, Forestry, and Grassland Diseases and Pests” (https://mp.weixin.qq.com/s/bChvREaFNYS0RIgio936OA)
7.Crop Pest and Disease Image Diagnosis Global Challenge
Theme: Beyond Visible Spectrum: AI for Agriculture (https://han-research.gitlab.io/Agvision)
The Crop Pest and Disease Image Diagnosis Global Challenge, jointly organized by Manchester Metropolitan University and the Aerospace Information Research Institute of the Chinese Academy of Sciences, will be held from May 29th to August 10th, 2023. The top 5 participants will be invited to co-author a summary paper on crop disease diagnosis methods, which will be submitted to the Special Issue of Remote Sensing. Relevant certificates and awards will be given. For more information, please contact Professor Liangxiu Han from Manchester Metropolitan University: L.Han@mmu.ac.uk or Professor Wenjiang Huang from the Aerospace Information Research Institute of the Chinese Academy of Sciences: huangwj@aircas.ac.cn.
Duration: May 29th to August 10th, 2023
Participation Method:
(1)Register for a Kaggle account (https://www.kaggle.com/).
(2)Join the Crop Pest and Disease Image Diagnosis Global Challenge:
Part1: https://www.kaggle.com/t/a76501db670b4588891c917a1b245075
Part2: https://www.kaggle.com/t/beb5449750ca4c85bf7c166698f2833b
(3)Download the data.
(4)Submit your results.
8.Registration
Registration fees will be charged for the conference to cover conference organization, promotion, and catering expenses. Participants are responsible for their own transportation and accommodation expenses.
(1)Online Registration:
All registrations for the conference will be conducted online, and on-site registration will generally not be available. Please pre-register for the conference below before June 30th by https://wj.qq.com/s2/12424923/99cc/
(2)Registration Fees
Before June 30th:
Researchers: 1500 CNY/person
Students: 1000 CNY/person
After June 30th:
Researchers: 2000 CNY/person
Students: 1200 CNY/person
(3)Payment Methods
Bank Transfer: Only accept bank transfers from institutions/companies. Please indicate ' The 4th Conference on Remote Sensing of Vegetation Pests and Diseases (2023) - XXX (participant's name)' as the payment reference.
Account Name: Grassland Research Institute, Chinese Academy of Agricultural Sciences
Bank Name: Hohhot Xincheng Sub-branch of Agricultural Bank of China
Account Number: 05500101040000086
On-site Payment: Government procurement card payment (QR code payment/POS machine payment)
(4)Invoices
Electronic VAT invoices will be issued by default. The invoices will be issued three days before the conference or on the registration day and will be sent to the mobile phone number and email provided during registration. Please ensure the accuracy of the invoicing information, mobile phone number, and email.
9.Corporate Sponsorship
As a sponsor of the conference, the sponsor will conduct in-depth exchanges with renowned experts, scholars, managers, and top graduate students in related fields nationwide, showcase your innovative ability and excellent products, and enhance the visibility and influence of the sponsor in the industry. In addition, the sponsor will be promoted in the conference materials and conference site, and arrange the conference report exchange, etc. Welcome to contact us for sponsorship through the conference contact information.
10.Transportation and Accommodation
(1)Transportation
![The 4th Conference on Remote Sensing of Vegetation Pests and Diseases (2023)]( "The 4th Conference on Remote Sensing of Vegetation Pests and Diseases (2023)")
Taxi: Approximately 16 kilometers, 20 minutes, around 38 CNY. No direct bus route available.
![The 4th Conference on Remote Sensing of Vegetation Pests and Diseases (2023)]( "The 4th Conference on Remote Sensing of Vegetation Pests and Diseases (2023)")
Taxi: Approximately 8 kilometers, 16 minutes, around 20 CNY. Bus Route 34 is available, takes approximately 45 minutes.
![The 4th Conference on Remote Sensing of Vegetation Pests and Diseases (2023)]( "The 4th Conference on Remote Sensing of Vegetation Pests and Diseases (2023)")
Taxi: Approximately 11 kilometers, 15 minutes, around 27 CNY. Bus Line Erhuan 1 is available, takes approximately 51 minutes.
(2)Accommodation
Hohhot Rongshi International Hotel
Single/Double Room (with breakfast): 380 CNY/day
Location: No. 5, South Second Ring, Saihan District, Hohhot City, Inner Mongolia Autonomous Region
11.Contact
Aerospace Information Research Institute, Chinese Academy of Sciences
Telephone: 010-82178178
E-mail: rscrop@aircas.ac.cn
zhangyanli@aircas.ac.cn
Institute of Grassland Research, Chinese Academy of Agricultural Sciences
Telephone: 0471-4926869
E-mail: hanhaibin@caas.cn
12.Organizers and Sponsors
Aerospace Information Research Institute, Chinese Academy of Sciences
Institute of Grassland Research, Chinese Academy of Agricultural Sciences
Biological Disaster Prevention and Control Center of National Forestry and Grassland Administration
Manchester Metropolitan University
China Biodiversity Conservation and Green Development Foundation
International Research Center of Big Data for Sustainable Development Goals
Anhui University
Hangzhou Dianzi University
National Engineering Research Center for Agro-Ecological Big Data Analysis & Application
Alliance of International Science Organizations
National Agro-Tech Extension and Service Center
Ningbo University
National Engineering Research Center for Information Technology in Agriculture
South China Agricultural University
Institute of Zoology, Chinese Academy of Sciences
Institute of Plant Protection, Chinese Academy of Agricultural Sciences
Chinese Academy of Forestry
Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences
Shandong University of Technology
Shandong University of Science and Technology
Shandong Academy of Agricultural Sciences
Henan Academy of Agricultural Sciences
Anhui Agricultural University
Anhui Academy of Agricultural Sciences
Peking University
Zhejiang University
Beijing Forestry University
China Agricultural University
University of Science and Technology Beijing
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
Nanjing Agricultural University
Hangzhou Normal University
Lanzhou University
Sun Yat-sen 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
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 Industry and Sciences
MARA - CABI Joint Laboratory for Bio-safety
National Innovation Alliance for Grassland Biological Disaster Prevention and Control
National Aviation Plant Protection Science Technology Innovation Alliance
Key Laboratory of Aviation Plant Protection, Ministry of Agriculture and Rural Affairs
《Remote Sensing》
《National Remote Sensing Bulletin》
《Journal of Agricultural Big Data》