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🌾 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. 🚀 https://huggingface.co/spaces/VIDraft/NH-Prediction https://huggingface.co/spaces/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

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