Crop prediction using machine learning

INIS

• prediction 100%
• machine learning 100%
• crops 100%
• soils 60%
• nutrients 40%
• randomness 40%
• forests 40%
• agriculture 40%
• growth 20%
• industry 20%
• minerals 20%
• developing countries 20%
• nitrogen 20%
• accuracy 20%
• erosion 20%
• algorithms 20%
• emission 20%
• entropy 20%
• decision tree analysis 20%
• potassium 20%
• planets 20%
• phosphorus 20%
• shortages 20%
• fertilizers 20%
• climatic change 20%

Agricultural and Biological Sciences

• Learning System 100%
• Machine Learning 100%
• Random Forest 100%
• Crop Year 50%
• Nutrient Deficiencies 50%
• Soil Erosion 50%
• Face 50%
• Potassium 50%