Potential of IoT System and Cloud Services for Predicting Agricultural Pests and Diseases

Earth & Environmental Sciences

• agricultural land 15%
• agricultural pest 95%
• forecasting 15%
• logistics 17%
• machine learning 19%
• method 4%
• monitoring system 18%
• pest 44%
• plantation 17%
• services 36%
• train 18%

Medicine & Life Sciences

• Cloud Computing 100%
• Datasets 23%
• Disease Outbreaks 26%
• Farmers 34%
• Farms 33%
• Logistic Models 19%
• Machine Learning 33%
• Technology 19%

Engineering & Materials Science

• Internet of things 49%
• Logistic regression 21%
• Machine learning 14%
• Monitoring 10%