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 4rd Conference on Remote Sensing of Vegetation Pests and Diseases 2023, will be jointly organized by the Aerospace Information Research Institute, 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, etc.

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.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)

2.Schedule

3.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)

4.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,with the main aim of facilitating the global collaboration across a wide range of communities and promote development of novel AI-enabled applications in agriculture, addressing food security and sustainability. 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.

5.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 August 1, 2023 by https://wj.qq.com/s2/12424923/99cc/

(2)Registration Fees

Before July 20th:

Researchers: 1500 CNY/person

Students: 1000 CNY/person

After July 20th:

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.

6.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. For details, please refer to the sponsorship program of the 4th Conference on Remote Sensing of Vegetation Pests and Diseases. Welcome to contact us for sponsorship through the conference contact information.

7.Transportation and Accommodation

(1)Transportation

• From Hohhot Baita International Airport to Hohhot Rongshi International Hotel (Recommended driving route in the image)

Taxi: Approximately 16 kilometers, 20 minutes, around 38 CNY. No direct bus route available.

• From Hohhot Railway Station to Hohhot Rongshi International Hotel (Recommended driving route in the image)

Taxi: Approximately 8 kilometers, 16 minutes, around 20 CNY. Bus Route 34 is available, takes approximately 45 minutes.

• From Hohhot East Railway Station to Hohhot Rongshi International Hotel (Recommended driving route in the image)

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

8.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

9.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》