With the advancement of technology,artificial intelligence(AI)is increasingly used in the seed indus-try,especially in the fields of financial forecasting and risk management.This study comprehensively analyzes the practical application effects of AI technologies such as machine learning and deep learning in financial forecasting and risk management in the seed industry,showing its significant advantages in improving forecast accuracy and risk assessment efficiency.Through a case study,this study demonstrates the effectiveness of time series analysis and neural network models in optimizing inventory management and pricing strategies.Looking to the future,the article predicts that the application of AI will be more in-depth and promote the comprehensive digital transforma-tion of the industry.Based on this,we recommend that seed industry companies increase investment in AI technol-ogy,establish an industry data sharing platform,and formulate ethical guiding principles to support the sustainable development and ethical application of AI technology.
维普
万方数据