On May 10th, 2023, the mid-term results communication and field technology demonstration meeting of the National Key R&D Program of China 'Integrating Multi-source Earth Observation Data for Global Crop Pest and Disease Dynamic Monitoring and Early Forecasting' was organized and held at Nanjing Agricultural University. More than 20 people, including leaders of the College of Plant Protection of Nanjing Agricultural University, members of the conference expert group, personnel from the project leading institution, and main members of participating institutions, attended the meeting. Members of the conference expert group include: Researcher Jihua Wang from Beijing Academy of Agriculture and Forestry Sciences, Professor Jingfeng Huang from Zhejiang University, Researcher Zhonghua Zhao from National Agro-tech Extension and Service Center, Researcher Xinyu Xue from Nanjing Research Institute for Agricultural Mechanization, Professor Yuanshu Jing from Nanjing University of Information Science and Technology, and Professor Xia Yao from Nanjing Agricultural University.

During the meeting, Professor Yonghao Ye, Vice Dean of the College of Plant Protection at Nanjing Agricultural University, delivered a speech. He introduced the College of Plant Protection at Nanjing Agricultural University and expressed his requirements and expectations for the project. The conference expert group listened to the mid-term progress report of the project given by the project leader Linyi Liu and provided guidance and suggestions regarding the issues existing in the project execution. The expert group affirmed the achievements of the project and unanimously agreed that the project has achieved the mid-term targets as stipulated in the task book. However, the expert group emphasized that in the subsequent execution process, it is necessary to pay attention to the integration of the model and cloud platform. It is also necessary to strengthen the sharing of project results, promote industry applications, and enhance the domestic and international influence of the results. At the same time, it is necessary to attach importance to the demonstration and review of the acceptance testing methods for project results.

The project has made significant progress in the extraction of key indicators for pest and disease monitoring, dynamic remote sensing monitoring of pest and disease hotspots, and temporal forecasting of pest and disease development. It has initially constructed a crop pest and disease remote sensing monitoring and forecasting system for the world, realizing the intelligent production and release of crop pest and disease remote sensing monitoring and forecasting products. The project has generated 6 academic papers as outcomes, including 5 SCI papers, and has also trained 11 graduate students. The project trained 960 technical personnel, promoters, and farmers in the field of crop pest and disease remote sensing monitoring and forecasting through academic conferences and technical training sessions. 17 crop pest and disease monitoring and forecasting reports were released in major food-producing countries worldwide. The project's results were applied in countries such as China, Pakistan, and Somalia, generating significant international impact.

Figure 1 Photo of the mid-term results communication meeting of the project

Figure 2 Photo of the field technology demonstration meeting of the project