China News Service, Beijing, October 31 (Reporter Sun Zifa) The reporter learned from the Aerospace Information Innovation Institute of the Chinese Academy of Sciences (Aerospace Institute) on October 31 that the "Intelligent Eye" vegetation health intelligent agent led by the institute was officially released on the same day at the Sixth Remote Sensing Conference on Vegetation Diseases and Pests. Through the in-depth combination of artificial intelligence (AI) technology, air and space information and vegetation health expertise, this agent organizes sky and ground network data, model algorithms and professional knowledge into a multi-agent cluster that works collaboratively.
China’s “intelligent eyes” serve the world
The "Intelligent Eye" vegetation health intelligence integrates multiple technologies such as vegetation world model, model workshop and multi-agent collaboration to realize full-process services from vegetation status perception to analysis and decision-making, promotes the transformation of vegetation health monitoring from manual organization of data and analysis processes to intelligent collaboration, and provides scientific and technological support for global food security, biosecurity and ecological security.
At the digital infrastructure level, a "smart eye" vegetation world model that maps the real vegetation world is built, and professional scenarios are formed around growth, pests and diseases, fertilizer and water stress, and ecological degradation.
At the level of professional capability supply, the model workshop collects the data, mechanism knowledge, evaluation rules and artificial intelligence technology required for scenarios to continuously produce and release monitoring and early warning capability models.
At the task execution level, the master control agent organizes the autonomous division of labor and dynamic collaboration of multiple domain agents, and calls data, knowledge and models under the constraints of remote sensing mechanisms and quality rules to complete collaborative analysis of sky and ground network software and hardware.
After the user puts forward task requirements, the agent can enter the corresponding scenario, call on professional capabilities, and support large-area, non-destructive and rapid early monitoring of vegetation health, dynamic assessment, intelligent early warning and assisted decision-making, making professional analysis capabilities more convenient for service management, scientific research and production front lines.
In terms of application, the "Intelligent Eye" vegetation health intelligent agent provides analysis services for needs such as cross-border pest and disease risk assessment, agricultural production, and forest and grassland protection. Taking desert locust monitoring and early warning in Asia and Africa as an example, the intelligent agent continues to form thematic maps and scientific reports, which can provide relevant international organizations and countries with monitoring and early warning services 10 to 30 days in advance, with an accuracy of over 85%, and provide scientific and technological support for cross-border risk analysis and collaborative response.
"Intelligent Eyes" vegetation health intelligence related services also cover crop growth and yield, nutrient and water stress, forest and grassland changes, etc. Through joint research, technical exchanges and result sharing, it promotes the connection between aerial and space observation results and front-line production needs, and serves global vegetation health monitoring and sustainable development.
Focus on remote sensing and AI empowerment
The 6th Remote Sensing Conference on Vegetation Diseases and Pests, with the theme of "Remote Sensing and AI Empowering Vegetation for One Health", aims to promote multidisciplinary intersection and integration of industry, academia, research and application, and promote theoretical research, technological innovation and application demonstration in the field of vegetation health.
The conference focused on the theory, models, methods, systems and application progress of remote sensing and artificial intelligence in vegetation health monitoring, early warning and prevention and control, covering the fields of remote sensing, plant protection, ecology, environment, meteorology and artificial intelligence, involving pest monitoring and early warning, green prevention and control, biodiversity protection and ecological security in agriculture, forestry and grassland.
Zhang Bing, academician of the Chinese Academy of Sciences, Secretary of the Party Committee and Vice President of the Institute of Space and Space of the Chinese Academy of Sciences, pointed out in his speech at the conference that the deep integration of earth observation and artificial intelligence has opened up new space for early identification, spread prediction and comprehensive risk assessment of pests and diseases.
He said that the key to future development is to closely integrate observation data, intelligent algorithms with biological and ecological mechanisms to form explainable, verifiable, and generalizable science and technology, promote the effective connection between monitoring and early warning and scientific prevention and control decision-making, and enable the technology to be effectively transformed into disaster prevention, damage reduction, and green development capabilities.
It is reported that this conference will set up a main forum and six sub-forums, including the relevant theories and industry applications of remote sensing of vegetation diseases and pests, pest biology and population dynamic monitoring, big data and artificial intelligence applications, satellite monitoring and disaster early warning assessment, low-altitude remote sensing and habitat monitoring, remote sensing large models and vegetation health industry, and graduate forum. Chinese and foreign experts and scholars will be invited to exchange the latest research results, demonstrate the application of spatial information and artificial intelligence technology in the field of vegetation health, promote technological innovation and achievement transformation, and promote interdisciplinary and cross-regional collaboration.
