Sensitivity analysis of energy inputs in crop production using artificial neural networks

Business & Economics

• Artificial Neural Network 95%
• Crops 92%
• Sensitivity Analysis 82%
• Energy 69%
• Network Model 44%
• Neuron 44%
• Rank Correlation 40%
• Correlation Coefficient 31%
• Machinery 27%
• Net Energy 23%
• Manure 22%
• Energy Productivity 22%
• Diesel Fuel 21%
• Labor 19%
• Irrigation 16%
• Energy Use 16%
• Sampling Methods 15%
• Iran 14%
• Electricity 12%
• Water 10%
• Factors 10%

Earth & Environmental Sciences

• crop production 97%
• artificial neural network 82%
• sensitivity analysis 78%
• energy 43%
• machinery 37%
• labor 34%
• vineyard 21%
• diesel fuel 21%
• energy use 19%
• energy efficiency 18%
• manure 17%
• diesel 17%
• electricity 15%
• irrigation 13%
• parameter 12%
• productivity 12%
• sampling 10%
• chemical 8%
• method 7%
• water 5%

Engineering & Materials Science

• Crops 100%
• Sensitivity analysis 79%
• Neural networks 54%
• Neurons 49%
• Machinery 34%
• Personnel 27%
• Manures 25%
• Irrigation 21%
• Diesel fuels 18%
• Multilayer neural networks 18%
• Productivity 14%
• Energy efficiency 14%
• Electricity 13%
• Sampling 12%
• Water 9%