Internet of things integrated smart agriculture for weather predictions and preventive mechanism

Abstract The application of science and technology is weather forecasting to predict a specific space condition in the atmosphere. Since massive data researchers are available, there was an interest in weather prediction and forecast. It helps to preserve human life and their resources by forecasting correctly. Predictions of crop yields development, traffical congestions, maritime navigation, forest development and protection valuable techniques in the successful forecasting of weather conditions. Data mining techniques / algorithms are more efficient than conventional statistical approaches / approaches. We propose to introduce a new Internet of Things (IoT) based smart machine learning model to effectively predict the weather by analysing and finding the required trends in the specified big weather sets. The efficient methods of learning under classifications & regression are metaheuristic and naturally motivated approaches. Good weather forecasting can be accomplished than the other techniques of data mining.