Humidity
Research Finds Hybrid Model for Adaptive Temperature and Humidity Forecasting in Solar Greenhouses
Researchers from Shenyang Agricultural University have developed a new RIME-optimized CNN-BiLSTM hybrid model for precise climate forecasting to protect agriculture. This model addresses the challenges of large diurnal temperature difference and extreme weather in Northeast China, which can significantly impact crop production. By using Pearson correlation analysis and the RIME