Improving lives of indebted farmers using deep learning: Predicting agricultural produce prices using convolutional neural networks

Keyphrases

• Convolutional Neural Network 100%
• Deep Learning 100%
• Volume Data 66%
• Machine Learning Algorithms 33%
• Suicide 33%
• Spatio-temporal Data 33%
• Nonprofit Organizations 33%
• Root Mean Square Error 33%
• Selling 33%
• Prediction Accuracy 33%
• Social Problems 33%
• Market Conditions 33%
• Government of India 33%
• Prediction Model 33%
• Missing Data 33%
• Data Entry 33%
• Indian States 33%
• Futures Prices 33%
• Deep Learning Algorithm 33%
• Price Uncertainty 33%
• Price-based 33%
• Spatio-temporal Dependencies 33%
• Take-the-first 33%
• Deep Learning Architectures 33%
• Coefficient of Variance 33%
• Wide Neural Network 33%
• Convolutional Neural Network Model 33%
• Imputation Techniques 33%

Computer Science

• Deep Learning Method 100%
• Convolutional Neural Network 100%
• Neural Network Model 50%
• Baseline Method 50%
• Machine Learning Algorithm 50%
• Neural Network Architecture 50%
• Prediction Model 50%
• Deep Neural Network 50%
• Machine Learning 50%
• Temporal Dependence 50%