Abstract:

Objective: As an important engine for developing new quality productivity, large models play a crucial role in supporting the transformation and upgrading of traditional industries and basic scientific research. The forestry and grassland industry is characterized by vast geographical coverage, complex types, and high work difficulty. However, current professional models in this industry suffer from insufficient generality, adaptability, complex problem-solving capabilities, and collaborative decision-making abilities, making them unable to meet the industry's demands and restricting the high-quality development of the forestry and grassland industry. Therefore, it is imperative for the forest and grassland industry to deeply integrate artificial intelligence (AI) technologies represented by industry large models with forestry and grassland business operations to achieve innovative empowerment. This study aims to explore effective paths for constructing large models in the forestry and grassland industry, break through development bottlenecks, comprehensively enhance the informatization management level of the forestry and grassland industry, and promote the intelligent upgrade of the forestry and grassland industry. Method: This paper elaborates on the current development status of large models, proposes the construction ideas of large models in the forestry and grassland industry, and constructs a framework for large models in the forestry and grassland industry covering infrastructure layer, data resource layer, model construction layer, and application service layer. Based on the characteristics of application scenarios in the forestry and grassland industry, it designs a technical system for large models in the forestry and grassland industry, including four types of large models: forestry and grassland large language models, forestry and grassland visual large models, forestry and grassland spatiotemporal large models, and forestry and grassland multimodal large models. Focusing on the development needs and trends of smart forestry and grassland and the application prospects of forestry and grassland intelligent agents, it deeply explores the application of large models in the forestry and grassland industry in eight typical scenarios, including forestry and grassland resource monitoring, forestry and grassland breeding and cultivation, forestry and grassland operation and management, forestry and grassland ecosystem management, forestry and grassland resource protection, forestry and grassland resource utilization, forestry and grassland ecological engineering, and forestry and grassland industry management. It also proposes innovative and integrated development ideas for large models in the forestry and grassland industry with cutting-edge technologies such as forestry and grassland real-scene 3D reconstruction, forestry and grassland digital twins, forestry and grassland embodied intelligence and forestry and grassland metaverse. Result: By constructing a forestry and grassland AI intelligent agent that integrates large models and professional models, the collaborative decision-making efficiency of large and small models in different business scenarios is strengthened, and the collaborative analysis and processing level of complex problems in the forestry and grassland industry is improved, providing professional, intelligent, and precise solutions covering the entire business chain for smart forestry and grassland. Conclusion: Large models in the forestry and grassland industry are the core driving force for the construction of smart forestry and grassland and the intelligent engine for the development of forestry and grassland informatization. They can not only transform the research paradigm of forestry and grassland science but also reshape the industry management system. Moreover, they can inject core power into the development of new quality productivity in the forestry and grassland industry, provide strong support for scientific research, application, and industrial development in vertical fields of the entire smart forestry and grassland industry, and comprehensively promote the intelligent transformation of the forestry and grassland industry and the innovative application of AI industries, empowering the high-quality development of the forestry and grassland industry.

Key words: artificial intelligence, large models, forestry-grassland industry large models, smart forestry-grassland, new quality productive forces