What is the application prospect of domestic large models in agricultural technology?

When domestic large models are deeply integrated with agricultural technology, they have broad application prospects. They can optimize the efficiency of the entire agricultural chain through data analysis and intelligent decision-making, promoting the transformation of traditional agriculture towards precision and intelligence. Planting management: By integrating soil composition, meteorological data, and crop growth models, large models can generate dynamic planting plans, adjust irrigation and fertilization strategies in real time, and improve resource utilization and yield per unit area. Pest and disease control: Combining image recognition with historical disease data, it can quickly identify the types of pests and diseases and predict their spread trends, assisting farmers in implementing precise measures and reducing the use of chemical pesticides. Supply chain optimization: Analyzing production, warehousing, and logistics data to optimize agricultural product harvesting, transportation, and sales plans, reduce circulation losses, and shorten the cycle from field to table. Breeding research and development: Accelerating the analysis of correlations between genetic data and traits, shortening the breeding cycle of new varieties, and enhancing crop stress resistance and quality. Agricultural enterprises can prioritize entry from planting management and pest control scenarios, accumulate data and model training experience through pilot projects, and gradually expand to the entire chain application to enhance agricultural competitiveness through technological upgrading.