Post
3155
🌾 NH Prediction: AI System for Korean Agricultural Price Forecasting 🌾
📊 Project Introduction
Price volatility in agricultural markets has significant impacts from producers to consumers! NH Prediction is an innovative system that utilizes cutting-edge AI technology to predict Korean agricultural wholesale prices based on extensive data spanning 40 years. 🚀
VIDraft/NH-Prediction
ginipick/NH-Korea
🧠 VIDraft's 14 Enhanced Prediction Models
The VIDraft research team has developed 14 advanced prediction models by reinforcing existing forecasting approaches:
🔮 VID-SARIMA Series: Precisely models seasonality and trends (up to 99.99% accuracy)
⚖️ VID-ETS Series: Captures multiplicative/additive variation patterns
📈 VID-Holt/Holt-Winters: Simultaneous analysis of linear trends and seasonality
📉 VID-MovingAverage/WeightedMA: Noise removal and medium-term trend identification
🔍 VID-Fourier+LR: Hybrid approach capturing complex periodicity
✨ Key Features
🌟 Item-Specific Optimization: Customized predictions for each agricultural product (rice, cabbage, apples, and 50+ more)
🔄 Ensemble Approach: Enhanced prediction robustness by combining top models
📱 Bilingual Support: Korean/English interfaces
🗓️ Integrated Forecast Periods: Simultaneous long-term and short-term predictions
📊 Advanced Visualization
💡 Use Cases
👨🌾 Producers: Crop planning optimization, shipping timing adjustment
🏬 Distributors: Inventory management, purchase planning optimization
🏛️ Policymakers: Market stabilization policy development, early warning for supply-demand imbalances
💰 Financial Institutions: Agricultural investment decisions, derivative product pricing
🔍 Prediction Accuracy
💯 High Accuracy: Achieving 99%+ accuracy for major items
🔄 Seasonality Recognition: Precisely captures monthly price variation patterns
📌 Confidence Intervals: Decision support through prediction uncertainty visualization
📊 Project Introduction
Price volatility in agricultural markets has significant impacts from producers to consumers! NH Prediction is an innovative system that utilizes cutting-edge AI technology to predict Korean agricultural wholesale prices based on extensive data spanning 40 years. 🚀
VIDraft/NH-Prediction
ginipick/NH-Korea
🧠 VIDraft's 14 Enhanced Prediction Models
The VIDraft research team has developed 14 advanced prediction models by reinforcing existing forecasting approaches:
🔮 VID-SARIMA Series: Precisely models seasonality and trends (up to 99.99% accuracy)
⚖️ VID-ETS Series: Captures multiplicative/additive variation patterns
📈 VID-Holt/Holt-Winters: Simultaneous analysis of linear trends and seasonality
📉 VID-MovingAverage/WeightedMA: Noise removal and medium-term trend identification
🔍 VID-Fourier+LR: Hybrid approach capturing complex periodicity
✨ Key Features
🌟 Item-Specific Optimization: Customized predictions for each agricultural product (rice, cabbage, apples, and 50+ more)
🔄 Ensemble Approach: Enhanced prediction robustness by combining top models
📱 Bilingual Support: Korean/English interfaces
🗓️ Integrated Forecast Periods: Simultaneous long-term and short-term predictions
📊 Advanced Visualization
💡 Use Cases
👨🌾 Producers: Crop planning optimization, shipping timing adjustment
🏬 Distributors: Inventory management, purchase planning optimization
🏛️ Policymakers: Market stabilization policy development, early warning for supply-demand imbalances
💰 Financial Institutions: Agricultural investment decisions, derivative product pricing
🔍 Prediction Accuracy
💯 High Accuracy: Achieving 99%+ accuracy for major items
🔄 Seasonality Recognition: Precisely captures monthly price variation patterns
📌 Confidence Intervals: Decision support through prediction uncertainty visualization