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๐พ NH Prediction: AI System for Korean Agricultural Price Forecasting ๐พ
๐ 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. ๐
VIDraft/NH-Prediction
ginipick/NH-Korea
๐ง VIDraft's 14 Enhanced Prediction Models
The VIDraft research team has developed 14 advanced prediction models by reinforcing existing forecasting approaches:
๐ฎ VID-SARIMA Series: Precisely models seasonality and trends (up to 99.99% accuracy)
โ๏ธ VID-ETS Series: Captures multiplicative/additive variation patterns
๐ VID-Holt/Holt-Winters: Simultaneous analysis of linear trends and seasonality
๐ VID-MovingAverage/WeightedMA: Noise removal and medium-term trend identification
๐ VID-Fourier+LR: Hybrid approach capturing complex periodicity
โจ Key Features
๐ Item-Specific Optimization: Customized predictions for each agricultural product (rice, cabbage, apples, and 50+ more)
๐ Ensemble Approach: Enhanced prediction robustness by combining top models
๐ฑ Bilingual Support: Korean/English interfaces
๐๏ธ Integrated Forecast Periods: Simultaneous long-term and short-term predictions
๐ Advanced Visualization
๐ก Use Cases
๐จโ๐พ Producers: Crop planning optimization, shipping timing adjustment
๐ฌ Distributors: Inventory management, purchase planning optimization
๐๏ธ Policymakers: Market stabilization policy development, early warning for supply-demand imbalances
๐ฐ Financial Institutions: Agricultural investment decisions, derivative product pricing
๐ Prediction Accuracy
๐ฏ High Accuracy: Achieving 99%+ accuracy for major items
๐ Seasonality Recognition: Precisely captures monthly price variation patterns
๐ Confidence Intervals: Decision support through prediction uncertainty visualization
๐ 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. ๐
VIDraft/NH-Prediction
ginipick/NH-Korea
๐ง VIDraft's 14 Enhanced Prediction Models
The VIDraft research team has developed 14 advanced prediction models by reinforcing existing forecasting approaches:
๐ฎ VID-SARIMA Series: Precisely models seasonality and trends (up to 99.99% accuracy)
โ๏ธ VID-ETS Series: Captures multiplicative/additive variation patterns
๐ VID-Holt/Holt-Winters: Simultaneous analysis of linear trends and seasonality
๐ VID-MovingAverage/WeightedMA: Noise removal and medium-term trend identification
๐ VID-Fourier+LR: Hybrid approach capturing complex periodicity
โจ Key Features
๐ Item-Specific Optimization: Customized predictions for each agricultural product (rice, cabbage, apples, and 50+ more)
๐ Ensemble Approach: Enhanced prediction robustness by combining top models
๐ฑ Bilingual Support: Korean/English interfaces
๐๏ธ Integrated Forecast Periods: Simultaneous long-term and short-term predictions
๐ Advanced Visualization
๐ก Use Cases
๐จโ๐พ Producers: Crop planning optimization, shipping timing adjustment
๐ฌ Distributors: Inventory management, purchase planning optimization
๐๏ธ Policymakers: Market stabilization policy development, early warning for supply-demand imbalances
๐ฐ Financial Institutions: Agricultural investment decisions, derivative product pricing
๐ Prediction Accuracy
๐ฏ High Accuracy: Achieving 99%+ accuracy for major items
๐ Seasonality Recognition: Precisely captures monthly price variation patterns
๐ Confidence Intervals: Decision support through prediction uncertainty visualization
posted
an
update
3 days ago
Post
3185
๐พ NH Prediction: AI System for Korean Agricultural Price Forecasting ๐พ
๐ 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. ๐
VIDraft/NH-Prediction
ginipick/NH-Korea
๐ง VIDraft's 14 Enhanced Prediction Models
The VIDraft research team has developed 14 advanced prediction models by reinforcing existing forecasting approaches:
๐ฎ VID-SARIMA Series: Precisely models seasonality and trends (up to 99.99% accuracy)
โ๏ธ VID-ETS Series: Captures multiplicative/additive variation patterns
๐ VID-Holt/Holt-Winters: Simultaneous analysis of linear trends and seasonality
๐ VID-MovingAverage/WeightedMA: Noise removal and medium-term trend identification
๐ VID-Fourier+LR: Hybrid approach capturing complex periodicity
โจ Key Features
๐ Item-Specific Optimization: Customized predictions for each agricultural product (rice, cabbage, apples, and 50+ more)
๐ Ensemble Approach: Enhanced prediction robustness by combining top models
๐ฑ Bilingual Support: Korean/English interfaces
๐๏ธ Integrated Forecast Periods: Simultaneous long-term and short-term predictions
๐ Advanced Visualization
๐ก Use Cases
๐จโ๐พ Producers: Crop planning optimization, shipping timing adjustment
๐ฌ Distributors: Inventory management, purchase planning optimization
๐๏ธ Policymakers: Market stabilization policy development, early warning for supply-demand imbalances
๐ฐ Financial Institutions: Agricultural investment decisions, derivative product pricing
๐ Prediction Accuracy
๐ฏ High Accuracy: Achieving 99%+ accuracy for major items
๐ Seasonality Recognition: Precisely captures monthly price variation patterns
๐ Confidence Intervals: Decision support through prediction uncertainty visualization
๐ 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. ๐
VIDraft/NH-Prediction
ginipick/NH-Korea
๐ง VIDraft's 14 Enhanced Prediction Models
The VIDraft research team has developed 14 advanced prediction models by reinforcing existing forecasting approaches:
๐ฎ VID-SARIMA Series: Precisely models seasonality and trends (up to 99.99% accuracy)
โ๏ธ VID-ETS Series: Captures multiplicative/additive variation patterns
๐ VID-Holt/Holt-Winters: Simultaneous analysis of linear trends and seasonality
๐ VID-MovingAverage/WeightedMA: Noise removal and medium-term trend identification
๐ VID-Fourier+LR: Hybrid approach capturing complex periodicity
โจ Key Features
๐ Item-Specific Optimization: Customized predictions for each agricultural product (rice, cabbage, apples, and 50+ more)
๐ Ensemble Approach: Enhanced prediction robustness by combining top models
๐ฑ Bilingual Support: Korean/English interfaces
๐๏ธ Integrated Forecast Periods: Simultaneous long-term and short-term predictions
๐ Advanced Visualization
๐ก Use Cases
๐จโ๐พ Producers: Crop planning optimization, shipping timing adjustment
๐ฌ Distributors: Inventory management, purchase planning optimization
๐๏ธ Policymakers: Market stabilization policy development, early warning for supply-demand imbalances
๐ฐ Financial Institutions: Agricultural investment decisions, derivative product pricing
๐ Prediction Accuracy
๐ฏ High Accuracy: Achieving 99%+ accuracy for major items
๐ Seasonality Recognition: Precisely captures monthly price variation patterns
๐ Confidence Intervals: Decision support through prediction uncertainty visualization
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